Ethiopia ET: GDP: Growth: Gross Value Added: Industry data was reported at 18.683 % in 2017. This records a decrease from the previous number of 22.762 % for 2016. Ethiopia ET: GDP: Growth: Gross Value Added: Industry data is updated yearly, averaging 8.134 % from Jul 1982 (Median) to 2017, with 36 observations. The data reached an all-time high of 26.898 % in 1993 and a record low of -19.862 % in 1992. Ethiopia ET: GDP: Growth: Gross Value Added: Industry data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ethiopia – Table ET.World Bank: Gross Domestic Product: Annual Growth Rate. Annual growth rate for industrial value added based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Industry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

Industry (including construction), value added (annual % growth) in Ethiopia was reported at 9.2398 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Ethiopia - Industry, value added (annual % growth) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Annual percentage growth rate of GDP at market prices based on constant 2010 US Dollars. in Ethiopia was reported at 7.1 % in 2026, according to the World Bank collection of development indicators, compiled from officially recognized sources. Ethiopia - Annual percentage growth rate of GDP at market prices based on constant 2010 US Dollars. - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Global Eye Bank Market was valued at USD 1.14 Billion in 2023 and is anticipated to project impressive growth in the forecast period with a CAGR of 7.48% through 2029.

Industry (including construction), value added (% of GDP) in Ethiopia was reported at 25.42 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Ethiopia - Industry, value added (% of GDP) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Ethiopia ET: GDP: Growth: Gross Value Added: Services data was reported at 8.588 % in 2016. This records a decrease from the previous number of 11.105 % for 2015. Ethiopia ET: GDP: Growth: Gross Value Added: Services data is updated yearly, averaging 8.468 % from Jul 1982 (Median) to 2016, with 35 observations. The data reached an all-time high of 21.876 % in 1993 and a record low of -19.460 % in 1991. Ethiopia ET: GDP: Growth: Gross Value Added: Services data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ethiopia – Table ET.World Bank.WDI: Gross Domestic Product: Annual Growth Rate. Annual growth rate for value added in services based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, import duties, and any statistical discrepancies noted by national compilers as well as discrepancies arising from rescaling. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

Ethiopia ET: GDP: Growth: Gross Value Added: Agriculture data was reported at 6.713 % in 2017. This records an increase from the previous number of 2.590 % for 2016. Ethiopia ET: GDP: Growth: Gross Value Added: Agriculture data is updated yearly, averaging 5.278 % from Jul 1982 (Median) to 2017, with 36 observations. The data reached an all-time high of 17.381 % in 1987 and a record low of -20.528 % in 1985. Ethiopia ET: GDP: Growth: Gross Value Added: Agriculture data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ethiopia – Table ET.World Bank.WDI: Gross Domestic Product: Annual Growth Rate. Annual growth rate for agricultural value added based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3 or 4.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted average; Note: Data for OECD countries are based on ISIC, revision 4.

GDP: linked series (current LCU) in Ethiopia was reported at 8722308000000 LCU in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Ethiopia - GDP at market prices: linked series (current LCU) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Abstract

The fourth edition of the Global Findex offers a lens into how people accessed and used financial services during the COVID-19 pandemic, when mobility restrictions and health policies drove increased demand for digital services of all kinds.

The Global Findex is the world’s most comprehensive database on financial inclusion. It is also the only global demand-side data source allowing for global and regional cross-country analysis to provide a rigorous and multidimensional picture of how adults save, borrow, make payments, and manage financial risks. Global Findex 2021 data were collected from national representative surveys of almost 145,000 people in 139 economies, representing 97 percent of the world’s population. The latest edition follows the 2011, 2014, and 2017 editions, and it includes a number of new series measuring financial health and resilience and contains more granular data on digital payment adoption, including merchant and government payments.

The Global Findex is an indispensable resource for financial service practitioners, policy makers, researchers, and development professionals.

Geographic coverage

Due to ongoing conflict and security issues, Tigray, Gambella, Harari regions were excluded. The excluded areas represent approximately 7% of the total population of Ethiopia.

Kind of data

Observation data/ratings [obs]

Sampling procedure

In most developing economies, Global Findex data have traditionally been collected through face-to-face interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, because of ongoing COVID-19–related mobility restrictions, face-to-face interviewing was not possible in some of these economies in 2021. Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. All samples are probability-based and nationally representative of the resident adult population. Additionally, phone surveys were not a viable option in 16 economies in 2021, which were then surveyed in 2022.

In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households. Each eligible household member is listed, and the hand-held survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

In traditionally phone-based economies, respondent selection follows the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies where mobile phone and landline penetration is high, a dual sampling frame is used.

The same respondent selection procedure is applied to the new phone-based economies. Dual frame (landline and mobile phone) random digital dialing is used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digital dialing is used in economies with limited to no landline presence (less than 20 percent).

For landline respondents in economies where mobile phone or landline penetration is 80 percent or higher, random selection of respondents is achieved by using either the latest birthday or household enumeration method. For mobile phone respondents in these economies or in economies where mobile phone or landline penetration is less than 80 percent, no further selection is performed. At least three attempts are made to reach a person in each household, spread over different days and times of day.

Sample size for Ethiopia is 1000.

Mode of data collection

Face-to-face [f2f]

Research instrument

Questionnaires are available on the website.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.

Abstract

The survey was conducted in Ethiopia between July 2011 and July 2012 as part of the Africa Enterprise Survey 2011 rollout, an initiative of the World Bank. Data from 644 establishments was analyzed. Stratified random sampling was used to select the surveyed businesses.

The objective of the survey is to obtain feedback from enterprises on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs and labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90 percent of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance. The mode of data collection is face-to-face interviews.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural private economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors. Companies with 100% government ownership are not eligible to participate in the Enterprise Surveys.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for Ethiopia was selected using stratified random sampling. Three levels of stratification were used in this country: firm sector, firm size, and geographic region.

Industry stratification was designed in the way that follows: the universe was stratified into one manufacturing industry and one service as defined in the sampling manual. The manufacturing industry had a target of 340 interviews and service industry had a target of 240 interviews.

Size stratification was defined following the standardized definition for the Enterprise Surveys: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers. This seems to be an appropriate definition of the labor force since seasonal/casual/part-time employment is not a common practice, except in the sectors of construction and agriculture.

Regional stratification was defined in five regions (city and the surrounding business area): Addis Ababa, Oromya, SNNPR, Amhara, and Tigray.

For the Ethiopia ES, three sample frames were used. The first sample frame was produced by Ethiopia Ministry of Trade and Industry. A copy of that frame was sent to the TNS statistical team in London to select the establishments for interview. However, the quality of the sample frames was not optimal and additional sample frames were acquired during the implementation of the survey in order to reach the target number of interviews. The second sample frame used was the Dun & Bradstreet (D&B) database and the third sample frame was the Ethiopia Yellow Pages 2011.

The enumerated establishments with five or more employees were then used as the sample frame for the Ethiopia Enterprise Survey with the aim of obtaining interviews at 600 establishments.

The quality of the frame was assessed at the onset of the project through visits to a random subset of firms and local contractor knowledge. The sample frame was not immune from the typical problems found in establishment surveys: positive rates of noneligibility, repetition, non-existent units, etc. In addition, the sample frame contains no telephone or fax numbers so the local contractor had to screen the contacts by visiting them. Due to response rate and ineligibility issues, additional sample had to be extracted by the World Bank in order to obtain enough eligible contacts and meet the sample targets.

Given the impact that non-eligible units included in the sample universe may have on results, adjustments may be needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 21% (392 out of 1,873 establishments) and 12% (37 out of 310 establishments) for the ES firms for the Ministry of Trade and D&B sample frames respectively. The non-eligibility rate for the Yellow Pages sample frame was 16% (98 out of 607 establishments).

Mode of data collection

Face-to-face [f2f]

Research instrument

The following survey instruments are available: - Manufacturing Module Questionnaire [ISIC Rev.3.1: 15-37] - Services Module Questionnaire [ISIC Rev.3.1: 45, 50, 51, 52, 60, 61, 62, 63, 64 & 72] - Screener Questionnaire.

The survey is fielded via manufacturing or services questionnaires in order not to ask questions that are irrelevant to specific types of firms, e.g. a question that relates to production and nonproduction workers should not be asked of a retail firm. In addition to questions that are asked across countries, all surveys are customized and contain country-specific questions. An example of customization would be including tourism-related questions that are asked in certain countries when tourism is an existing or potential sector of economic growth.

Cleaning operations

Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

Response rate

Survey non-response must be differentiated from item non-response. The former refers to refusals to participate in the survey altogether whereas the latter refers to the refusals to answer some specific questions. Enterprise Surveys suffer from both problems and different strategies were used to address these issues.

Item non-response was addressed by two strategies: a- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect "Refusal to respond" (-8) as a different option from "Don't know" (-9). b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary.

Survey non-response was addressed by maximizing efforts to contact establishments that were initially selected for interview. Attempts were made to contact the establishment for interview at different times, days of the week before a replacement establishment (with similar strata characteristics) was suggested for interview. Survey non-response did occur but substitutions were made in order to potentially achieve strata-specific goals.

The number of contacted establishments per realized interview was 0.16, 0.38, and 0.36 for formal ES firms using the sample frames from the Ministry of Industry and Trade, D&B, and Yellow Pages respectively. This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units. The number of rejections per contact was 0.06, 0.05 and 0.007 using the sample frames from the Ministry of Industry and Trade, D&B, and Yellow Pages respectively.

Complete information regarding the sampling methodology, sample frame, weights, response rates, and implementation can be found in "Description of Ethiopia ES 2011 Implementation" in Technical Documents.

Abstract

The survey was conducted in Ethiopia between June 2015 and February 2016 as part of Enterprise Surveys project, an initiative of the World Bank. The objective of the survey is to obtain feedback from enterprises on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

In Ethiopia, data from 848 establishments was analyzed. Stratified random sampling was used to select the surveyed businesses. The data was collected using CAPI mode.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs and labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90 percent of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is an establishment. The establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural private economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors. Companies with 100% government ownership are not eligible to participate in the Enterprise Surveys.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample was selected using stratified random sampling. Three levels of stratification were used in this country: industry, establishment size, and region.

Industry stratification was designed in the way that follows: the universe was stratified into four manufacturing industries (Food and Beverages (ISIC Rev. 3.1 code 15), Textile and Garments including leather (ISIC codes 17-19), Non-metallic mineral products (ISIC code 26), and other manufacturing (ISIC Codes 16, 20-25, 27-37)) and three services sectors (Transportation (ISIC codes 60-62, 64), Retail (ISIC code 52) and Other Services (ISIC codes 45, 50, 51,55 and 72)).

Size stratification was defined as follows: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees).

Regional stratification for the 2015 Ethiopia ES was done across six geographic regions: Addis Ababa and Dire Dawa city administrations, and Amhara, Oromia, SNNPR and Tigray regional states.

The sample frame consisted of listings of firms from two sources. First, for panel firms, the list of 644 firms covered in the 2011 Ethiopia Enterprise Survey (i.e. "panel" firms) is used. Secondly, for fresh firms (i.e., firms that were not covered in the 2011 survey), business registry data collected from the Trade and Industry Bureaus of the six administrative regions and cities, and additional list of business registry data from the Federal Ministry of Trade and Industry were used.

The enumerated establishments with 5 employees or more (fresh and panel) were then used as the sample frame for the Ethiopia Enterprise Survey with the aim of obtaining interviews of 900 establishments.

Given the impact that non-eligible units included in the sample universe may have on the results, adjustments may be needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 33% (1056 out of 3447 establishments), reflecting the fact that the fresh sample frame is based on a business registry data4. In fact, most of the non-eligibility issue is the result of firms turning out to be micro (which is not part of our sampling universe) up on screening.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The following survey instruments are available: - Manufacturing Module Questionnaire - Services Module Questionnaire

Questionnaires have common questions (core module) and respectfully additional manufacturing and services specific questions.

The eligible manufacturing industries have been surveyed using the Manufacturing questionnaire (includes the core module, plus manufacturing specific questions). Retail firms have been interviewed using the Services questionnaire (includes the core module plus retail specific questions) and the residual eligible services have been covered using the Services questionnaire (includes the core module). Each variation of the questionnaire is identified by the index variable, a0.

The survey is fielded via manufacturing or services questionnaires in order not to ask questions that are irrelevant to specific types of firms, e.g. a question that relates to production and nonproduction workers should not be asked of a retail firm. In addition to questions that are asked across countries, all surveys are customized and contain country-specific questions. An example of customization would be including tourism-related questions that are asked in certain countries when tourism is an existing or potential sector of economic growth.

Cleaning operations

Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

Response rate

Survey non-response must be differentiated from item non-response. The former refers to refusals to participate in the survey altogether whereas the latter refers to the refusals to answer some specific questions. Enterprise Surveys suffer from both problems and different strategies were used to address these issues.

Item non-response was addressed by two strategies: a- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect "Refusal to respond" (-8) as a different option from "Don't know" (-9). b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary.

Survey non-response was addressed by maximizing efforts to contact establishments that were initially selected for interview. Attempts were made to contact the establishment for interview at different times/days of the week before a replacement establishment (with similar strata characteristics) was suggested for interview. Survey non-response did occur but substitutions were made in order to potentially achieve strata-specific goals.

The number of interviews per contacted establishments was 0.25. This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units. The number of rejections per contact was 0.04.

The Kenyan telecom market, valued at $3.79 billion in 2025, exhibits a steady growth trajectory, projected to expand at a Compound Annual Growth Rate (CAGR) of 2.24% from 2025 to 2033. This growth is fueled by increasing smartphone penetration, rising data consumption driven by the popularity of social media and streaming services, and the expanding mobile money ecosystem. The market is segmented primarily into voice services (both wired and wireless), data and messaging services, and Over-The-Top (OTT) and PayTV services. Key players like Safaricom, Airtel Kenya, and Telkom Kenya dominate the landscape, with significant competition from smaller players like Equitel and Zuku, vying for market share through innovative offerings and competitive pricing strategies. Growth is further influenced by government initiatives promoting digital inclusion and infrastructure development, although challenges such as the cost of data and infrastructure limitations in remote areas continue to pose constraints. The increasing adoption of 4G and the gradual rollout of 5G networks are expected to significantly influence data consumption patterns and further fuel market expansion in the coming years. The competitive landscape is characterized by intense rivalry, prompting service providers to continuously enhance their service offerings, expand network coverage, and leverage strategic partnerships to maintain a competitive edge. Growth in the data and OTT segments is particularly noteworthy, reflecting a shifting consumer preference towards digital content consumption. This trend is further supported by a young and tech-savvy population increasingly reliant on mobile devices for communication, entertainment, and financial transactions. While the market presents considerable opportunities, sustaining profitability requires companies to adapt to evolving consumer demands, manage operating costs, and navigate regulatory challenges effectively. The successful players will be those capable of optimizing network efficiency, strategically investing in infrastructure upgrades, and leveraging innovative business models to cater to the diverse needs of the Kenyan consumer base. Recent developments include: October 2024: Safaricom has expanded its M-PESA Global service to include Ethiopia, enabling users to transfer mobile money from Kenya to Ethiopia. With this growth, the two companies strive to enhance the utilization and reach of mobile money in Ethiopia, which can help stimulate local economies and provide new prospects for people and businesses in the area. This partnership reflects our dedication to providing creative financial options that meet the changing demands of our clients.September 2024: Axian Telecom was reportedly looking to acquire Kenya-based mobile, internet and TV provider Wananchi Group., The Standard reported according to files made with regulator Comesa Competition Commission, Axian Telecom subsidiary Axian Telecom Fibre is looking to acquire 99.63% of Wananchi. It trades under the Zuku brand offering TV, broadband and mobile across Kenya, Tanzania, Uganda, Malawi and Zambia.. Key drivers for this market are: Rising demand for 4G and 5G services, Growth of IoT usage in Telecom. Potential restraints include: Rising demand for 4G and 5G services, Growth of IoT usage in Telecom. Notable trends are: The Demand for 4G and 5G Services is Rising.

Ethiopia ET: GDP: Growth data was reported at 10.246 % in 2017. This records an increase from the previous number of 7.562 % for 2016. Ethiopia ET: GDP: Growth data is updated yearly, averaging 8.268 % from Jul 1982 (Median) to 2017, with 36 observations. The data reached an all-time high of 13.859 % in 1987 and a record low of -11.144 % in 1985. Ethiopia ET: GDP: Growth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ethiopia – Table ET.World Bank: Gross Domestic Product: Annual Growth Rate. Annual percentage growth rate of GDP at market prices based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average;

Abstract

This research of registered businesses with one to four employees was conducted in Ethiopia between July 2011 and May 2012, at the same time with Ethiopia Enterprise Survey 2011. Data from 150 establishments was analyzed. Stratified random sampling was used to select the surveyed businesses. The objective of the survey is to obtain feedback from enterprises on the state of the private sector and constraints to its growth.

Micro-Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, AIDS, business-government relations, innovation and technology, and performance measures. Over 90 percent of the questions objectively ascertain characteristics of a country's business environment. The remaining questions assess the survey respondents' opinions on what are the obstacles to firm growth and performance.

Geographic coverage

Addis Ababa

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural private economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors. Companies with 100% government ownership are not eligible to participate in the Enterprise Surveys.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for Ethiopia was selected using stratified random sampling. Two levels of stratification were used: firm sector and geographic region.

Industry stratification was designed in the way that follows: the universe was stratified into one manufacturing industry and one service as defined in the sampling manual. The sample design for the Ethiopia Micro-Survey targeted 240 establishments, 120 in manufacturing and 120 in services. Given to difficulties during the fieldwork implementation, the sample design for the micro-survey was revised in March 2012. The revised sample had a target of 120 establishments, 60 in manufacturing and 60 in services.

The micro sample consists of firms with 1 to 4 employees. For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers. This seems to be an appropriate definition of the labor force since seasonal/casual/part-time employment is not a common practice, except in the sectors of construction and agriculture.

The revised sample design for the Ethiopia Micro-Survey included establishments only in Addis Ababa.

For the Ethiopia ES, three sample frames were used. The first sample frame was produced by Ethiopia Ministry of Trade and Industry. A copy of that frame was sent to the TNS statistical team in London to select the establishments for interview. However, the quality of the sample frames was not optimal and additional sample frames were acquired during the implementation of the survey in order to reach the target number of interviews. The second sample frame used was the Dun & Bradstreet (D&B) database and the third sample frame was the Ethiopia Yellow Pages 2011.

Regarding the stratification variables, the number of reported permanent full-time workers was not available in the Ministry of Trade and Industry sample frame or in the Ethiopia Yellow Pages. For the sample frame of the Ministry of Trade and Industry, the number of employees was estimated from the turnover. For the Yellow Pages, the number of employees was not known and could not be estimated during the sample design phase. The Ethiopia Ministry of Trade and Industry, D&B, and Yellow Pages sample frames were used also for the Ethiopia Micro-Survey. The same criteria for the estimation of the number of workers were applied.

The enumerated establishments with less than five employees (micro establishments) were used as sample frame for the Ethiopia Micro-Survey with the aim of obtaining interviews with 240 establishments.

The quality of the frame was assessed at the onset of the project through visits to a random subset of firms and local contractor knowledge. The sample frame was not immune from the typical problems found in establishment surveys: positive rates of noneligibility, repetition, non-existent units, etc. In addition, the sample frame contains no telephone or fax numbers so the local contractor had to screen the contacts by visiting them. Due to response rate and ineligibility issues, additional sample had to be extracted by the World Bank in order to obtain enough eligible contacts and meet the sample targets.

Given the impact that non-eligible units included in the sample universe may have on results, adjustments may be needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 27% (267 out of 997 establishments) and 5% (1 out of 21 establishments) for the Ministry of Trade and D&B sample frames, respectively. The non-eligibility rate for the Yellow Pages sample frame was 0%.

Mode of data collection

Face-to-face [f2f]

Research instrument

The following survey instruments are available: - Manufacturing Module Questionnaire [ISIC Rev.3.1: 15-37] - Services Module Questionnaire [ISIC Rev.3.1: 45, 50, 51, 52, 60, 61, 62, 63, 64 & 72] - Screener Questionnaire.

The survey is fielded via manufacturing or services questionnaires in order not to ask questions that are irrelevant to specific types of firms, e.g. a question that relates to production and nonproduction workers should not be asked of a retail firm. In addition to questions that are asked across countries, all surveys are customized and contain country-specific questions. An example of customization would be including tourism-related questions that are asked in certain countries when tourism is an existing or potential sector of economic growth.

Cleaning operations

Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

Response rate

Survey non-response must be differentiated from item non-response. The former refers to refusals to participate in the survey altogether whereas the latter refers to the refusals to answer some specific questions. Enterprise Surveys suffer from both problems and different strategies were used to address these issues.

Item non-response was addressed by two strategies: a- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect "Refusal to respond" (-8) as a different option from "Don't know" (-9). b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary.

Survey non-response was addressed by maximizing efforts to contact establishments that were initially selected for interview. Attempts were made to contact the establishment for interview at different times, days of the week before a replacement establishment (with similar strata characteristics) was suggested for interview. Survey non-response did occur but substitutions were made in order to potentially achieve strata-specific goals.

The number of contacted micro establishments per realized interview was 0.10, 0.43, and 1.00 using the sample frames from the Ministry of Industry and Trade, D&B, and Yellow Pages respectively. This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units. The number of rejections per contact was 0.14, 0.05, and 0.00 using the sample frames from the Ministry of Industry and Trade, D&B, and Yellow Pages respectively.

Complete information regarding the sampling methodology, sample frame, weights, response rates, and implementation can be found in "Description of Ethiopia ES 2011 Implementation" in Technical Documents.

Manufacturing, value added (% of GDP) in Ethiopia was reported at 4.406 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Ethiopia - Manufacturing, value added (% of GDP) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Aquaculture production (metric tons) in Ethiopia was reported at 1070 metric tons in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Ethiopia - Aquaculture production (metric tons) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.