Ethiopia ET: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Within Region data was reported at 30.231 % in 2016. This records an increase from the previous number of 28.119 % for 2015. Ethiopia ET: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Within Region data is updated yearly, averaging 1.627 % from Dec 1960 (Median) to 2016, with 55 observations. The data reached an all-time high of 33.146 % in 2013 and a record low of 0.176 % in 1996. Ethiopia ET: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Within Region 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: Exports. Merchandise exports to low- and middle-income economies within region are the sum of merchandise exports from the reporting economy to other low- and middle-income economies in the same World Bank region as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. No figures are shown for high-income economies, because they are a separate category in the World Bank classification of economies.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

Ethiopia ET: GDP: % of Manufacturing: Machinery and Transport Equipment data was reported at 5.454 % in 2014. This records a decrease from the previous number of 5.666 % for 2013. Ethiopia ET: GDP: % of Manufacturing: Machinery and Transport Equipment data is updated yearly, averaging 2.099 % from Jul 1990 (Median) to 2014, with 25 observations. The data reached an all-time high of 7.012 % in 2000 and a record low of 1.039 % in 1990. Ethiopia ET: GDP: % of Manufacturing: Machinery and Transport Equipment 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: Share of GDP. Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Machinery and transport equipment correspond to ISIC divisions 29, 30, 32, 34, and 35.; ; United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.; ;

Abstract

The Ethiopian Socioeconomic Survey (ESS) is a collaborative project between the Central Statistics Agency of Ethiopia (CSA) 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

The Ethiopia Socioeconomic Survey 2013/2014 (ESS2) covered all regional states including the capital, Addis Ababa. The majority of the sample comprises rural areas as it was carried over from ESS1. The ESS2 was implemented in 433 enumeration areas (EAs) out of which 290 were rural, 43 were small town EAs from ESS1, and 100 were new EAs from major urban areas.

Analysis unit

Households, individuals and communities.

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 [f2f]

Research instrument

The survey was collected using five questionnaires: household, community, post-planting agriculture, post-harvest agriculture and livestock questionnaires.

The household questionnaire collected information on basic demographics; education; health (including anthropometric measurement for children); labor and time use; partial food and non-food expenditure; household nonfarm income-generating activities; food security and shocks; safety nets; housing conditions; assets; credit; and other sources of household income. The household questionnaire, when relevant, is comparable to the Welfare Monitoring Survey (WMS).

The community questionnaire gathered information on access to infrastructure; community organizations; resource management; changes in the community; key events; community needs, actions and achievements; and local retail price information.

Post-planting and post-harvest agriculture questionnaires were completed in those households with at least one member of the household engaged in crop farming using owned or rented land The post-planting and post-harvest agriculture questionnaires focused on farming activities and solicit information on land ownership and use; farm labor; inputs use; GPS land area measurement and coordinates of household fields; agriculture capital; irrigation; and crop harvest and utilization.

The livestock questionnaire interviews were implemented in households where at least one member was engaged in livestock rearing. The livestock questionnaire collected information on animal holdings and costs; and production, cost and sales of livestock byproducts.

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.

Ethiopia ET: Government Expenditure on Secondary Education: % of Government Expenditure on Education data was reported at 29.308 % in 2013. This records an increase from the previous number of 25.303 % for 2012. Ethiopia ET: Government Expenditure on Secondary Education: % of Government Expenditure on Education data is updated yearly, averaging 30.259 % from Dec 1971 (Median) to 2013, with 20 observations. The data reached an all-time high of 38.501 % in 1983 and a record low of 23.797 % in 1997. Ethiopia ET: Government Expenditure on Secondary Education: % of Government Expenditure on Education 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: Education Statistics. Expenditure on secondary education is expressed as a percentage of total general government expenditure on education. General government usually refers to local, regional and central governments.; ; United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.; Median;

Ethiopia ET: Distance to Frontier Score: 0=Lowest Performance To 100=Frontier data was reported at 47.770 NA in 2017. This records an increase from the previous number of 45.690 NA for 2016. Ethiopia ET: Distance to Frontier Score: 0=Lowest Performance To 100=Frontier data is updated yearly, averaging 45.690 NA from Dec 2015 (Median) to 2017, with 3 observations. The data reached an all-time high of 47.770 NA in 2017 and a record low of 45.410 NA in 2015. Ethiopia ET: Distance to Frontier Score: 0=Lowest Performance To 100=Frontier 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: Business Environment. Distance to frontier score illustrates the distance of an economy to the 'frontier,' which represents the best performance observed on each Doing Business topic across all economies and years included since 2005. An economy's distance to frontier is indicated on a scale from 0 to 100, where 0 represents the lowest performance and 100 the frontier. For example, a score of 75 in 2012 means an economy was 25 percentage points away from the frontier constructed from the best performances across all economies and across time. A score of 80 in 2013 would indicate the economy is improving.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year. Data before 2013 are not comparable with data from 2013 onward due to methodological changes.

Ethiopia ET: Research and Development Expenditure: % of GDP data was reported at 0.605 % in 2013. This records an increase from the previous number of 0.241 % for 2010. Ethiopia ET: Research and Development Expenditure: % of GDP data is updated yearly, averaging 0.210 % from Dec 2005 (Median) to 2013, with 4 observations. The data reached an all-time high of 0.605 % in 2013 and a record low of 0.171 % in 2007. Ethiopia ET: Research and Development Expenditure: % of GDP 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: Technology. Gloss domestic expenditures on research and development (R&D), expressed as a percent of GDP. They include both capital and current expenditures in the four main sectors: Business enterprise, Government, Higher education and Private non-profit. R&D covers basic research, applied research, and experimental development.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Ethiopia ET: GDP: Growth: Final Consumption Expenditure data was reported at 1.823 % in 2017. This records a decrease from the previous number of 3.300 % for 2016. Ethiopia ET: GDP: Growth: Final Consumption Expenditure data is updated yearly, averaging 5.621 % from Dec 2012 (Median) to 2017, with 6 observations. The data reached an all-time high of 10.140 % in 2013 and a record low of 1.823 % in 2017. Ethiopia ET: GDP: Growth: Final Consumption Expenditure 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. Average annual growth of final consumption expenditure based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (formerly private consumption) and general government final consumption expenditure (formerly general government consumption). This estimate includes any statistical discrepancy in the use of resources relative to the supply of resources.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted average;

Ethiopia ET: GDP: % of GNI: Gross Savings data was reported at 30.561 % in 2016. This records an increase from the previous number of 29.662 % for 2015. Ethiopia ET: GDP: % of GNI: Gross Savings data is updated yearly, averaging 30.879 % from Jul 2011 (Median) to 2016, with 6 observations. The data reached an all-time high of 33.157 % in 2011 and a record low of 28.398 % in 2013. Ethiopia ET: GDP: % of GNI: Gross Savings 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: Share of GDP. Gross savings are calculated as gross national income less total consumption, plus net transfers.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted average;

Ethiopia ET: GDP: % of Manufacturing: Medium and High Tech Industry data was reported at 16.081 % in 2015. This stayed constant from the previous number of 16.081 % for 2014. Ethiopia ET: GDP: % of Manufacturing: Medium and High Tech Industry data is updated yearly, averaging 7.845 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 16.705 % in 2013 and a record low of 3.179 % in 1991. Ethiopia ET: GDP: % of Manufacturing: Medium and High Tech 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.WDI: Gross Domestic Product: Share of GDP. The proportion of medium and high-tech industry value added in total value added of manufacturing; ; United Nations Industrial Development Organization (UNIDO), Competitive Industrial Performance (CIP) database; ;

Ethiopia ET: GDP: Growth: Gross Capital Formation data was reported at 15.903 % in 2017. This records an increase from the previous number of 10.579 % for 2016. Ethiopia ET: GDP: Growth: Gross Capital Formation data is updated yearly, averaging 20.147 % from Jul 2012 (Median) to 2017, with 6 observations. The data reached an all-time high of 46.511 % in 2012 and a record low of 9.441 % in 2013. Ethiopia ET: GDP: Growth: Gross Capital Formation 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 of gross capital formation based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Gross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assets include land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercial and industrial buildings. Inventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales, and 'work in progress.' According to the 1993 SNA, net acquisitions of valuables are also considered capital formation.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average;

Ethiopia ET: Researchers in R&D: per Million People data was reported at 45.123 Ratio in 2013. This records an increase from the previous number of 42.267 Ratio for 2010. Ethiopia ET: Researchers in R&D: per Million People data is updated yearly, averaging 31.629 Ratio from Dec 2005 (Median) to 2013, with 4 observations. The data reached an all-time high of 45.123 Ratio in 2013 and a record low of 19.965 Ratio in 2007. Ethiopia ET: Researchers in R&D: per Million People 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: Technology. The number of researchers engaged in Research &Development (R&D), expressed as per million. Researchers are professionals who conduct research and improve or develop concepts, theories, models techniques instrumentation, software of operational methods. R&D covers basic research, applied research, and experimental development.; ; United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.; Weighted average;

Ethiopia ET: GDP: Growth: Final Consumption Expenditure: Include Discrepancy data was reported at 3.300 % in 2016. This records a decrease from the previous number of 9.110 % for 2015. Ethiopia ET: GDP: Growth: Final Consumption Expenditure: Include Discrepancy data is updated yearly, averaging 7.943 % from Jul 2012 (Median) to 2016, with 5 observations. The data reached an all-time high of 10.140 % in 2013 and a record low of 2.959 % in 2012. Ethiopia ET: GDP: Growth: Final Consumption Expenditure: Include Discrepancy 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. Average annual growth of final consumption expenditure based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (formerly private consumption) and general government final consumption expenditure (formerly general government consumption). This estimate includes any statistical discrepancy in the use of resources relative to the supply of resources.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average;

Ethiopia ET: Net Official Development Assistance and Official Aid Received: 2013 Price data was reported at 4.124 USD bn in 2016. This records an increase from the previous number of 3.234 USD bn for 2015. Ethiopia ET: Net Official Development Assistance and Official Aid Received: 2013 Price data is updated yearly, averaging 973.040 USD mn from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 4.124 USD bn in 2016 and a record low of 114.170 USD mn in 1964. Ethiopia ET: Net Official Development Assistance and Official Aid Received: 2013 Price 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: Defense and Official Development Assistance. Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. It includes loans with a grant element of at least 25 percent (calculated at a rate of discount of 10 percent). Net official aid refers to aid flows (net of repayments) from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. Data are in constant 2013 U.S. dollars.; ; Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.; Sum;

Ethiopia ET: GDP: Growth: GNI data was reported at 9.949 % in 2017. This records an increase from the previous number of 7.630 % for 2016. Ethiopia ET: GDP: Growth: GNI data is updated yearly, averaging 10.075 % from Jul 2012 (Median) to 2017, with 6 observations. The data reached an all-time high of 10.579 % in 2013 and a record low of 7.630 % in 2016. Ethiopia ET: GDP: Growth: GNI 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. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average;

Ethiopia Educational Attainment: At Least Bachelor's or Equivalent: Population 25+ Years: % Cumulative: Female data was reported at 4.350 % in 2021. This records an increase from the previous number of 0.726 % for 2016. Ethiopia Educational Attainment: At Least Bachelor's or Equivalent: Population 25+ Years: % Cumulative: Female data is updated yearly, averaging 0.726 % from Dec 2013 (Median) to 2021, with 3 observations. The data reached an all-time high of 4.350 % in 2021 and a record low of 0.571 % in 2013. Ethiopia Educational Attainment: At Least Bachelor's or Equivalent: Population 25+ Years: % Cumulative: Female 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: Social: Education Statistics. The percentage of population ages 25 and over that attained or completed Bachelor's or equivalent.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.;;

Ethiopia Net Bilateral Aid Flows from Development Assistance Committee Donors: Estonia data was reported at 0.010 USD mn in 2022. This records a decrease from the previous number of 0.050 USD mn for 2021. Ethiopia Net Bilateral Aid Flows from Development Assistance Committee Donors: Estonia data is updated yearly, averaging 0.015 USD mn from Dec 2013 (Median) to 2022, with 10 observations. The data reached an all-time high of 0.110 USD mn in 2020 and a record low of 0.000 USD mn in 2019. Ethiopia Net Bilateral Aid Flows from Development Assistance Committee Donors: Estonia 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: Defense and Official Development Assistance. Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Lithuania, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.;Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://data-explorer.oecd.org/.;Sum;

Ethiopia ET: Population: Male: Ages 50-54: % of Male Population data was reported at 2.542 % in 2017. This records an increase from the previous number of 2.493 % for 2016. Ethiopia ET: Population: Male: Ages 50-54: % of Male Population data is updated yearly, averaging 2.851 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 3.009 % in 1960 and a record low of 2.436 % in 2013. Ethiopia ET: Population: Male: Ages 50-54: % of Male Population 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: Population and Urbanization Statistics. Male population between the ages 50 to 54 as a percentage of the total male population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;

Ethiopia ET: Gross External Debt data was reported at 26.097 USD bn in Jun 2018. This records an increase from the previous number of 25.883 USD bn for Mar 2018. Ethiopia ET: Gross External Debt data is updated quarterly, averaging 20.487 USD bn from Sep 2013 (Median) to Jun 2018, with 20 observations. The data reached an all-time high of 26.097 USD bn in Jun 2018 and a record low of 12.009 USD bn in Sep 2013. Ethiopia ET: Gross External Debt 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: QEDS: Gross External Debt: by Sector and Instrument.

Ethiopia ET: Depth of Credit Information Index: 0=Low To 8=High data was reported at 0.000 NA in 2017. This stayed constant from the previous number of 0.000 NA for 2016. Ethiopia ET: Depth of Credit Information Index: 0=Low To 8=High data is updated yearly, averaging 0.000 NA from Dec 2013 (Median) to 2017, with 5 observations. Ethiopia ET: Depth of Credit Information Index: 0=Low To 8=High 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: Business Environment. Depth of credit information index measures rules affecting the scope, accessibility, and quality of credit information available through public or private credit registries. The index ranges from 0 to 8, with higher values indicating the availability of more credit information, from either a public registry or a private bureau, to facilitate lending decisions.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year. Data before 2013 are not comparable with data from 2013 onward due to methodological changes.

Ethiopia ET: GDP: Growth: GNI per Capita data was reported at 7.273 % in 2017. This records an increase from the previous number of 4.971 % for 2016. Ethiopia ET: GDP: Growth: GNI per Capita data is updated yearly, averaging 7.334 % from Jul 2012 (Median) to 2017, with 6 observations. The data reached an all-time high of 7.731 % in 2013 and a record low of 4.971 % in 2016. Ethiopia ET: GDP: Growth: GNI per Capita 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 GNI per capita based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. GNI per capita is gross national income divided by midyear population. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted average;