The Ethiopian market for bearing housings not incorporating ball or roller bearings, plain shaft bearings declined remarkably to $2M in 2024, waning by -29.7% against the previous year. This figure reflects the total revenues of producers and importers (excluding logistics costs, retail marketing costs, and retailers' margins, which will be included in the final consumer price). Overall, consumption continues to indicate a slight decline.

As of June 2024, Ethiopia recorded the highest property price-to-income ration in Africa, with 50.3 points. Cameroon and Algeria followed, with ratios of 43.2 and 18.7 points, respectively.

In 2024, the Ethiopian household hand tools market was finally on the rise to reach $260K after three years of decline. Over the period under review, consumption posted mild growth. As a result, consumption attained the peak level of $1.4M. From 2021 to 2024, the growth of the market remained at a somewhat lower figure.

This statistic shows the rental yields for prime office real estate in selected cities in Africa in 2020. In 2020, the rental yield in Addis Ababa, Ethiopia, was six percent for prime office real estate.

The Ethiopian ceramic household article market fell significantly to $11M in 2024, which is down by -38.2% against the previous year. This figure reflects the total revenues of producers and importers (excluding logistics costs, retail marketing costs, and retailers' margins, which will be included in the final consumer price). In general, consumption, however, recorded a buoyant expansion.

In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the second spreadsheet of three in the Ethiopia Pastoralist Areas Resilience Improvement and Market Expansion (PRIME) Project IE--Household Information.

The Ethiopian household dishwashing machine market shrank notably to $231K in 2024, which is down by -21.6% against the previous year. This figure reflects the total revenues of producers and importers (excluding logistics costs, retail marketing costs, and retailers' margins, which will be included in the final consumer price). Over the period under review, consumption, however, enjoyed a measured expansion.

The African prefabricated houses market is experiencing robust growth, driven by rapid urbanization, increasing infrastructure development, and a growing need for affordable and quickly deployable housing solutions. The market's Compound Annual Growth Rate (CAGR) exceeding 5.50% indicates significant expansion potential over the forecast period (2025-2033). Key market drivers include government initiatives promoting affordable housing, the rising middle class with increased disposable income, and the efficiency and cost-effectiveness of prefabricated construction compared to traditional methods. The demand for both single-family and multi-family prefabricated units is fueling market growth across various regions, with Nigeria, South Africa, Egypt, and Kenya emerging as leading consumers. While challenges such as fluctuating raw material prices and a need for improved regulatory frameworks exist, the overall market outlook remains positive. The presence of established players like Karmod Prefabricated Building Technologies and Kwikspace Modular Buildings Ltd., alongside emerging local companies, fosters competition and innovation within the industry. The market's segmentation by house type allows for targeted approaches catering to diverse customer needs and preferences, furthering market expansion and penetration. The historical period (2019-2024) likely saw a steady increase in market size laying the groundwork for the robust projected growth. The continued expansion of the African prefabricated houses market is expected to be fueled by several factors. Firstly, a sustained increase in construction activities across major African cities will create a heightened demand for housing. Secondly, the adoption of sustainable building practices and environmentally friendly materials is gaining traction, and prefabricated construction aligns well with these goals, leading to increased adoption. Thirdly, the potential for leveraging technology in design and manufacturing processes further boosts the efficiency and cost-effectiveness of prefabricated housing, making it a more attractive option. However, consistent policy support and investment in infrastructure are crucial to ensure the sustained growth of this sector. Addressing challenges like skilled labor shortages and logistical complexities will also be crucial for unlocking the full potential of the prefabricated housing market in Africa. Future market analysis should consider the impact of evolving building codes and regulations on the market growth and the increased adoption of innovative building materials and technologies. Recent developments include: May 2023: A new prefab housing structure is under development by Amsterdam-based architecture firm NLE. They installed a model in Africa's Cape Verde to understand its viability's various aspects as floating houses. The idea is to reduce the overall cost emanating from land prices., January 2022: Housing is one of the major challenges of a city resident in Addis Ababa, the capital city of Ethiopia. Hence, the Addis Ababa City Administration laid the foundation for 5,000 prefabricated houses in the Akaki Kaliti sub-city. Addis Ababa City Administration also stated that 2 million houses would be built during the ten-year development plan.. Notable trends are: Shift Towards Prefab Housing due to High Pricing in Egypt.

Ethiopia: Furniture and household maintenance prices, world average = 100: The latest value from 2021 is 46.6 index points, a decline from 59.29 index points in 2017. In comparison, the world average is 82.49 index points, based on data from 165 countries. Historically, the average for Ethiopia from 2017 to 2021 is 52.95 index points. The minimum value, 46.6 index points, was reached in 2021 while the maximum of 59.29 index points was recorded in 2017.

This dataset contains the data describing the household roster collected as part of the baseline survey generated in support of an impact evaluation of the Ethiopia Pastoralist Areas Resilience Improvement and Market Expansion (PRIME) Project. In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully.

The report on Ethiopia Home Appliances covers a summarized study of several factors supporting market growth, such as market size, market type, major regions, and end-user applications. The report enables customers to recognize key drivers that influence and govern the market.

After two years of growth, the Ethiopian plastic household articles market decreased by -13.8% to $4.5M in 2024. In general, consumption, however, posted a prominent expansion. Plastic household articles consumption peaked at $5.3M in 2023, and then dropped in the following year.

The Ethiopian market for bearing housings incorporating ball or roller bearings fell modestly to $561K in 2024, with a decrease of -2.7% against the previous year. This figure reflects the total revenues of producers and importers (excluding logistics costs, retail marketing costs, and retailers' margins, which will be included in the final consumer price). Overall, consumption, however, continues to indicate a noticeable downturn.

Abstract

The Household Consumption and Expenditure (HCE) survey is administered by the Central Statistical Agency every five years, most recently in 2010/11. The core objective of the HCE survey is to provide data that enable to understand the income dimension of poverty and the major objectives are to: • Assess the level, extent and distribution of income dimension of poverty. • Provide data on the levels, distribution and pattern of household expenditure that will be used for analysis of changes in the households' living standard level over time in various socio-economic groups and geographical areas. • Provide basic data that enables to design, monitor and evaluate the impact of socio- economic policies and programs on households/individuals living standard. • Furnish series of data for assessing poverty situations, in general, and food security, in particular. • Provide data for compiling household accounts in the system of national accounts, especially in the estimation of private consumption expenditure. • Obtain weights and other useful information for the construction and /or rebasing of consumer price indices at various levels and geographical areas.

Geographic coverage

The 2010/11 HCE survey covered all rural and urban areas of the country except the non-sedentary populations in Afar (three zones) and Somali (six zones).

Analysis unit

• Household
• Individual
• Consumption expenditure items

Universe

The survey covered households in the selected samples except residents of collective quarters, homeless persons and foreigners.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampling Frame The 2007 Population and Housing Census served as the sampling frame from which the rural and urban EAs were selected. A fresh list of households for each selected EA was collected at the beginning of the survey period. Households were then selected for inclusion in the survey by choosing a random number as the starting point in the list and selecting every nth household (n being the necessary number to achieve the desired number of households in each EA).

Sample Design & Selection In order to produce a representative sample, the country was stratified into the following four categories: rural, major urban centers, medium towns, and small towns.

a. Category I - Rural This category consists of the rural areas of 68 zones and special weredas, which are considered zones, in 9 regions of the country. This category also includes the rural areas of the Dire Dawa City Administration. A stratified two-stage cluster sample design was used, with the primary sampling unit being the EAs. Sample EAs were selected using Probability Proportional to Size, with size being the number of households identified in the 2007 Population and Housing Census. Twelve households were randomly selected from each sample rural EA for survey administration. The total sample for this category is 864 EAs and 10,368 households.

b. Category II - Major Urban Centers This category includes all regional capitals as well as five additional major urban centers with large populations, for a total of 15 major urban centers. These 15 urban centers were broken down into the 14 regional capitals and the 10 sub-cities of Addis Ababa City Administration resulting in a total of 24 represented urban domains. A stratified two-stage sample design was also used for this category as in the rural sample with EAs as the primary sampling unit. For this category, however, 16 households were randomly selected in each EA. In total, 576 EAs and 9,216 households were selected for this category.

c. Categories III & IV - Other Urban Centers These two categories capture other urban areas not included in Category II. A domain of other urban centers was formed from 8 regions (all except Harari, Addis Ababa, and Dire Dawa where all urban centers are included in Category II). Unlike the other categories, a three-stage sample design was used. However, sampling was still conducted using probability proportionate to size. The urban centers were the primary sampling units and the EAs were secondary sampling units. Sixteen households were randomly selected from each of the selected EAs. A total sample of 112 urban centers, 528 EAs, and 8,448 households were selected for these two categories.

Mode of data collection

Face-to-face [f2f]

Research instrument

A hard copy (Paper print) booklet type questioner has been used for data collection. The design of the questionnaire has structured/organized into five main parts (forms).

The main components of the survey questionnaire are: Form 0: is used together basic household information that could help to assess the general livelihood nature of a household and its members, such as: source of household income, status and scope of agriculture engagement (diversity and specialization), safety net/asset accumulation participation, participation in micro and small scale business enterprise, accessibility and/or credit facility status from micro-finance institution, …etc.,

Form 1: has been used to collect data on demographic characteristics and economic activity of household members, such as: age, sex, marital status, education, income contribution status, economic activity and other related variables.

Form 2 (2A & 2B): is used to collect actual consumption (quantity consumed) and equivalent expenditure of food, beverages and tobacco items, that would have been actually consumed by the household (members of the household) within the reference period of the survey. Note that the first three consecutive day's consumption being collected in Form 2A and 2B is used to collect the second phase (consecutive 4 days) of the survey week.

Form 3 (3A, 3B & 3C): Household consumption and expenditure data on non-durable goods and frequent services has been collected using three segments of form 3. Of which 3A and 3B are designed to handle three and four day's data, respectively; while 3C has been used to capture a full month reference data.

Form 4 (4A-4E): Household expenditure data of durable goods and Less-Frequent services was administered in form 4. In order to facilitate a systematic way of data collection approach, these goods and services are grouped into classes and data were collected using five chapters of the main module in such a way that expenditure data on: • Clothing and footwear was collected in 4A; • Dwelling rent, water, fuel and energy, furniture's & furnishing, household equipment and operation were collected by use of form 4B; • Health, transport and communication goods and services has been collected in form 4C; • Education, recreation, entertainment, cultural and sport goods and services were collected by the use of 4D; and • Personal goods and services, financial services, and others including operational cost of production with respect to unincorporated household economic enterprises;

Dairy book: Consumption expenditure of food and beverages data are collected, at first on daily basis, by listing every consumed item by the household (every household member) in each day in a dairy book, to facilitate exhaustiveness of consumption. And, then a summary of attributes are transferred to the main questionnaire.

Measuring tools: Kitchen balance (digital type in urban and analog type in rural areas) and measuring type are used for consumption/quantity data collection.

Cleaning operations

Data Processing All data processing was undertaken at the head office. Completed questionnaires were returned to the CSA data processing department from the field periodically. Data processing activities included cleaning, coding, and verifying data as well as checking for consistency. These activities were carried out on a quarterly basis after entering three months of data. Further processing, including the estimation of sampling weights, was carried out at the close of data entry.

Data Entry and Coding Manual editing and coding of data began as early as August 2010, when the first round of completed questionnaires was received at the head office. A team of 21 editors, 5 verifiers, and 4 supervisors carried out these activities. Subject matter experts provided a 5-day intensive training for this team to equip them with the necessary skills. Additionally, a team of 12 encoders was trained to enter the data. A double-entry system was used, wherein two separate encoders manually entered each survey. Any discrepancies between the two entries were flagged automatically and the physical survey was reviewed to correct the errors. Data entry was completed in October 2011.

Data Validation and Cleaning Data validation and cleaning was carried out by subject matter experts and data programmers. Systematic validity checks were completed at the commodity, household and visit levels. Activities related to consistency, validity, and completeness included the following: a. Imputation of missing observations on consumption goods (in quantity or value) using the market price survey that was collected at the time of the HCE. b. Validity and consistency of quantity and value of consumption items was checked by comparing the figures across both household visits (using the household-provided prices and/or the market price survey). c. Estimation of the value of consumption of own production using the household-provided quantities and market survey prices. d. Comparison of household expenditure on durable goods using different recall periods (i.e., 3 and 12 months). After analyzing the annualized values using each reference period, it was decided to use whichever period resulted in the largest expenditure, which was often the

The survey interviewed 254 retailer shops in 10 sub-cities of Addis Ababa. 30 supermarkets, 20 mini-markets, 100 regular shops, 80 dairy shops and 24 open market shops selling dairy products were interviewed. Details of the sampling strategy is found in the attachment. The survey collected information on the characteristics of the shop, details of dairy products sold, prices and quality. Policy makers, research, and other stakeholders can use this data to analyses dairy value chain in Ethiopia and dairy retailing practices in Ethiopia. This data set was collected through research of the project “Improving the evidence and policies for better performing livestock systems in Ethiopia” lead by the International Food Policy Research Institution as part of the Feed the Future Innovation Lab for Livestock Systems.

In 2024, the Ethiopian iron household articles market increased by 20% to $1.5M for the first time since 2021, thus ending a two-year declining trend. In general, consumption recorded resilient growth. Iron household articles consumption peaked at $3M in 2018; however, from 2019 to 2024, consumption stood at a somewhat lower figure.

The Ethiopian cast iron household articles market skyrocketed to $451K in 2024, with an increase of 145% against the previous year. This figure reflects the total revenues of producers and importers (excluding logistics costs, retail marketing costs, and retailers' margins, which will be included in the final consumer price). Over the period under review, consumption, however, continues to indicate a mild decline.

The Household Survey for Evaluation of Livelihoods and Sustainable Markets Project in Ethiopia, 2014 data were collected by Oxfam GB as part of the organisation's Global Performance Framework. Under this framework, a small number of completed or mature projects are selected at random each year for an evaluation of their impact, known as an Effectiveness Review. These data were used to evaluate the impact of the 'Coffee Value Chain: Linking Smallholders to a Sustainable and Scalable Business Model in Ethiopia' project which took place between September 2009 and March 2012. The project's overall objective was to contribute to improved coffee production and sales by linking coffee farmers to primary coffee cooperatives and unions. The project covered three districts where primary coffee cooperatives bought coffee directly from farmers and delivered the coffee to a cooperative union. The union supplied seeds, slashers and wire mesh and supported the farmers in seedling production. The project also included a series of training sessions for farmers and the union board. The evaluation adopted a quasi-experimental approach which involved comparing households that had been supported by the project with households in neighbouring communities that had not been supported by the project, but had similar characteristics at baseline according to the survey's recall questions. In total, 215 project beneficiary households and 432 comparison households were selected from to be surveyed from 12 sub-districts.

Anonymisation:
Respondent names have been removed. Community names have been removed and replaced with codes in random order. The following variables have been recoded so as to prevent unique cases that may allow identification of the respondents: household size (capped at 11 members), age (binned in 5-year intervals), tribe (combined categories) principal work of household head (combined categories), and material of house floor (combined categories).

In 2024, after two years of growth, there was decline in the Ethiopian non-household fan market, when its value decreased by -3.4% to $10M. Over the period under review, consumption recorded a buoyant increase. As a result, consumption attained the peak level of $24M. From 2015 to 2024, the growth of the market remained at a lower figure.

In 2024, after two years of growth, there was significant decline in the Ethiopian plastic household ware market, when its value decreased by -26.1% to $16M. Over the period under review, the total consumption indicated a temperate expansion from 2012 to 2024: its value increased at an average annual rate of +3.8% over the last twelve years. The trend pattern, however, indicated some noticeable fluctuations being recorded throughout the analyzed period.