This statistic shows the biggest cities in Ethiopia in 2022. In 2022, approximately 3.86 million people lived in Adis Abeba, making it the biggest city in Ethiopia.

Population in the largest city (% of urban population) in Ethiopia was reported at 18.25 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Ethiopia - Population in the largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Ethiopia ET: Population in Largest City data was reported at 4,215,965.000 Person in 2017. This records an increase from the previous number of 4,039,927.000 Person for 2016. Ethiopia ET: Population in Largest City data is updated yearly, averaging 1,690,413.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 4,215,965.000 Person in 2017 and a record low of 519,177.000 Person in 1960. Ethiopia ET: Population in Largest City 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: Population and Urbanization Statistics. Population in largest city is the urban population living in the country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; ;

Urban population (% of total population) in Ethiopia was reported at 23.66 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Ethiopia - Urban population (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Ethiopia ET: Population in Largest City: as % of Urban Population data was reported at 15.931 % in 2017. This records a decrease from the previous number of 16.255 % for 2016. Ethiopia ET: Population in Largest City: as % of Urban Population data is updated yearly, averaging 29.736 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 36.434 % in 1960 and a record low of 15.931 % in 2017. Ethiopia ET: Population in Largest City: as % of Urban 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. Population in largest city is the percentage of a country's urban population living in that country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; Weighted Average;

This dataset is about cities in Ethiopia. It has 93 rows. It features 7 columns including country, population, latitude, and longitude.

Population in largest city in Ethiopia was reported at 5703628 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Ethiopia - Population in largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Ethiopia urban population for 2023 was 29,801,135, a 4.88% increase from 2022.

<ul style='margin-top:20px;'>

<li>Ethiopia urban population for 2022 was <strong>28,413,333</strong>, a <strong>4.91% increase</strong> from 2021.</li>
<li>Ethiopia urban population for 2021 was <strong>27,083,011</strong>, a <strong>4.98% increase</strong> from 2020.</li>
<li>Ethiopia urban population for 2020 was <strong>25,799,189</strong>, a <strong>5.02% increase</strong> from 2019.</li>
</ul>Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects. Aggregation of urban and rural population may not add up to total population because of different country coverages.

Multi-temporal city data on a) Annual land consumption rate (%), b) population growth rate (%), c) ratio of land consumption rate to population growth rate, and d) built up area per capita.

Geographic coverage

National coverage

Analysis unit

Household Person Housing unit

Universe

The census has counted people on dejure and defacto basis. The dejure population comprises all the persons who belong to a given area at a given time by virtue of usual residence, while under defacto approach people were counted as the residents of the place where they found. In the census, a person is said to be a usual resident of a household (and hence an area) if he/she has been residing in the household continuously for at least six months before the census day or intends to reside in the household for six months or longer. Thus, visitors are not included with the usual (dejure) population. Homeless persons were enumerated in the place where they spent the night on the enumeration day. The 2007 census counted foreign nationals who were residing in the city administration. On the other hand all Ethiopians living abroad were not counted.

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Research instrument

Two type sof questionnaires were used to collect census data: i) Short questionnaire ii) Long questionnaire

Unlike the previous censuses, the contents of the short and long questionnaires were similar both for the urban and rural areas as well as for the entire city. But the short and the long questionnaires differ by the number of variables they contained. That is, the short questionnaire was used to collect basic data on population characteristics, such as population size, sex, age, language, ethnic group, religion, orphanhood and disability. Whereas the long questionnaire includes information on marital status, education, economic activity, migration, fertility, mortality, as well as housing stocks and conditions in addition to those questions contained in a short questionnaire.

ethiopian cities. name, office head of government, Mayor, image, Area, date founded, Elevation, Country, administrative division, continent, latitude, waterbody, longitude, Website, population, Demonym

This dataset contains household survey data from 8 Ethiopian cities (Adama, Bahir Dar, Dessie, Dilla, Hawassa, Hossana, Mekelle, and Shashemene) and related geospatial analysis data. Developed in collaboration with Amistad Civil Engineering PLC and the NYU Marron Institute's Urban Expansion Initiative team, the survey aimed to evaluate the economic and health impacts of new arterial roads. Households were categorized into an impact group (within 500 meters of the new roads) and a control group (300 meters further away). The study sample comprised 500 households from each of the eight cities, evenly divided between the intervention and control areas. Geospatial analysis of satellite imagery was used to map urban expansion zones and identify new arterial roads within each city. To facilitate random household selection, a Halton point selection method was employed, pinpointing GPS coordinates. This dataset supports the publication "Ethiopia Urban Expansion Initiative (UEI) Evaluation Final Report," and includes attachments 4-11 to that report.

Nigeria has the largest population in Africa. As of 2025, the country counted over 237.5 million individuals, whereas Ethiopia, which ranked second, has around 135.5 million inhabitants. Egypt registered the largest population in North Africa, reaching nearly 118.4 million people. In terms of inhabitants per square kilometer, Nigeria only ranked seventh, while Mauritius had the highest population density on the whole African continent in 2023. The fastest-growing world region Africa is the second most populous continent in the world, after Asia. Nevertheless, Africa records the highest growth rate worldwide, with figures rising by over two percent every year. In some countries, such as Niger, the Democratic Republic of Congo, and Chad, the population increase peaks at over three percent. With so many births, Africa is also the youngest continent in the world. However, this coincides with a low life expectancy. African cities on the rise The last decades have seen high urbanization rates in Asia, mainly in China and India. However, African cities are currently growing at larger rates. Indeed, most of the fastest-growing cities in the world are located in Sub-Saharan Africa. Gwagwalada, in Nigeria, and Kabinda, in the Democratic Republic of the Congo, ranked first worldwide. By 2035, instead, Africa's fastest-growing cities are forecast to be Bujumbura, in Burundi, and Zinder, Nigeria.

The metropolitan area of Lagos in Nigeria counted over 14 million middle-class people as of 2018. This was the highest number in Africa. Addis Ababa in Ethiopia followed with 2.7 million individuals belonging to the middle class. The middle-class population included people who had a disposable income of over 75 percent of their salary, were employed, had a business activity, or were in education, and had at least a secondary school degree.

Accessibility to regional cities dataset is modeled as raster-based travel time/cost analysis, computed for the largest cities surrounding the country. The following cities are included: City - Population Addis Ababa, Ethiopia - 5 153 002 Asmara, Eritrea - 1 258 001 Sohag, Egypt - 979 800 Wau, South Sudan - 328 651 Abeche, Chad - 83 155 This 500m resolution raster dataset is part of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis (GIS-MCDA) aimed at the identification of value chain infrastructure sites (or optimal location).

ET：最大城市人口在12-01-2017达4,215,965.000人，相较于12-01-2016的4,039,927.000人有所增长。ET：最大城市人口数据按年更新，12-01-1960至12-01-2017期间平均值为1,690,413.500人，共58份观测结果。该数据的历史最高值出现于12-01-2017，达4,215,965.000人，而历史最低值则出现于12-01-1960，为519,177.000人。CEIC提供的ET：最大城市人口数据处于定期更新的状态，数据来源于World Bank，数据归类于全球数据库的埃塞俄比亚 – Table ET.World Bank.WDI：人口和城市化进程统计。

The raster dataset consists of a 1km score grid for wheat storage location, produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis for value chain infrastructure location. The location score is achieved by processing sub-model outputs that characterize logistical factors for selected crop warehouse location: • Supply: Wheat. • Demand: Human population density, Major cities population (national and bordering countries). • Infrastructure/accessibility: main transportation infrastructure It consists of an arithmetic weighted sum of normalized grids (0 to 100): ("Crop Production" * 0.4) + (”Dry ports accessibility” * 0.3) + ("Major Cities Accessibility" * 0.2) + ("Human Population Density" * 0.1).

The raster dataset consists of a 1km score grid for cereal storage location, produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis for value chain infrastructure location. The location score is achieved by processing sub-model outputs that characterize logistical factors for selected crop warehouse location: • Supply: Cereal. • Demand: Human population density, Major cities population (national and bordering countries). • Infrastructure/accessibility: main transportation infrastructure It consists of an arithmetic weighted sum of normalized grids (0 to 100): ("Crop Production" * 0.4) + (”Dry ports accessibility” * 0.3) + ("Major Cities Accessibility" * 0.2) + ("Human Population Density" * 0.1)

Socio-demographic characteristic of the respondents in Mekelle City, Tigray, Ethiopia, 2016 (n = 456).

Abstract

The 2019 Ethiopia Mini Demographic and Health Survey (EMDHS) is the second Mini Demographic and Health Survey conducted in Ethiopia. The Ethiopian Public Health Institute (EPHI) implemented the survey at the request of the Federal Ministry of Health (FMoH). Data collection took place from March 21, 2019, to June 28, 2019.

Financial support for the 2019 EMDHS was provided by the government of Ethiopia, the World Bank via the Ministry of Finance and Economic Development’s Enhancing Shared Prosperity through Equitable Services (ESPES) and Promoting Basic Services (PBS) projects, the United Nations Children’s Fund (UNICEF), and the United States Agency for International Development (USAID). ICF provided technical assistance through The DHS Program, which is funded by USAID and offers support and technical assistance for the implementation of population and health surveys in countries worldwide.

SURVEY OBJECTIVES The primary objective of the 2019 EMDHS is to provide up-to-date estimates of key demographic and health indicators. Specifically, the main objectives of the survey are: - To collect high-quality data on contraceptive use; maternal and child health; infant, child, and neonatal mortality levels; child nutrition; and other health issues relevant to achievement of the Sustainable Development Goals (SDGs) - To collect information on health-related matters such as breastfeeding, maternal and child care (antenatal, delivery, and postnatal), children’s immunisations, and childhood diseases - To assess the nutritional status of children under age 5 by measuring weight and height

Four full-scale DHS surveys were conducted in 2000, 2005, 2011, and 2016. The first Ethiopia Mini-DHS, or EMDHS, was conducted in 2014. The 2019 EMDHS provides valuable information on trends in key demographic and health indicators over time. The information collected through the 2019 EMDHS is intended to assist policymakers and programme managers in evaluating and designing programmes and strategies for improving the health of the country's population.

Geographic coverage

National coverage

Analysis unit

Households Women age 15-49 Children age 0-59 months

Universe

Household members Woman aged 15-49 years Children aged 0-59 months

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling frame used for the 2019 EMDHS is a frame of all census enumeration areas (EAs) created for the 2019 Ethiopia Population and Housing Census (EPHC) and conducted by the Central Statistical Agency (CSA). The census frame is a complete list of the 149,093 EAs created for the 2019 EPHC. An EA is a geographic area covering an average of 131 households. The sampling frame contains information about EA location, type of residence (urban or rural), and estimated number of residential households.

Administratively, Ethiopia is divided into nine geographical regions and two administrative cities. The sample for the 2019 EMDHS was designed to provide estimates of key indicators for the country as a whole, for urban and rural areas separately, and for each of the nine regions and the two administrative cities.

The 2019 EMDHS sample was stratified and selected in two stages. Each region was stratified into urban and rural areas, yielding 21 sampling strata. Samples of EAs were selected independently in each stratum in two stages. Implicit stratification and proportional allocation were achieved at each of the lower administrative levels by sorting the sampling frame within each sampling stratum before sample selection, according to administrative units in different levels, and by using a probability proportional to size selection at the first stage of sampling.

To ensure that survey precision was comparable across regions, sample allocation was done through an equal allocation wherein 25 EAs were selected from eight regions. However, 35 EAs were selected from each of the three larger regions: Amhara, Oromia, and the Southern Nations, Nationalities, and Peoples’ Region (SNNPR).

In the first stage, a total of 305 EAs (93 in urban areas and 212 in rural areas) were selected with probability proportional to EA size (based on the 2019 EPHC frame) and with independent selection in each sampling stratum. A household listing operation was carried out in all selected EAs from January through April 2019. The resulting lists of households served as a sampling frame for the selection of households in the second stage. Some of the selected EAs for the 2019 EMDHS were large, with more than 300 households. To minimise the task of household listing, each large EA selected for the 2019 EMDHS was segmented. Only one segment was selected for the survey, with probability proportional to segment size. Household listing was conducted only in the selected segment; that is, a 2019 EMDHS cluster is either an EA or a segment of an EA.

In the second stage of selection, a fixed number of 30 households per cluster were selected with an equal probability systematic selection from the newly created household listing. All women age 15-49 who were either permanent residents of the selected households or visitors who slept in the household the night before the survey were eligible to be interviewed. In all selected households, height and weight measurements were collected from children age 0-59 months, and women age 15-49 were interviewed using the Woman’s Questionnaire.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Five questionnaires were used for the 2019 EMDHS: (1) the Household Questionnaire, (2) the Woman’s Questionnaire, (3) the Anthropometry Questionnaire, (4) the Health Facility Questionnaire, and (5) the Fieldworker’s Questionnaire. These questionnaires, based on The DHS Program’s standard questionnaires, were adapted to reflect the population and health issues relevant to Ethiopia. They were shortened substantially to collect data on indicators of particular relevance to Ethiopia and donors to child health programmes.

Input was solicited from various stakeholders representing government ministries and agencies, nongovernmental organisations, and international donors. After the questionnaires were finalised in English, they were translated into Amarigna, Tigrigna, and Afaan Oromo.

The Household Questionnaire was used to list all of the usual members of and visitors to selected households. Basic demographic information was collected on the characteristics of each person listed, including his or her age, sex, education, and relationship to the head of the household. The data on age and sex of household members obtained in the Household Questionnaire were used to identify women who were eligible for individual interviews. The Household Questionnaire was also used to collect information on characteristics of the household’s dwelling unit, such as source of water, type of toilet facilities, materials used for the floor of the dwelling unit, and ownership of various durable goods.

The Woman’s Questionnaire was used to collect information from all eligible women age 15-49. These women were asked questions on the following main topics: background characteristics, reproduction, contraception, pregnancy and postnatal care, child nutrition, childhood immunisations, and health facility information.

In the Anthropometry Questionnaire, height and weight measurements were recorded for eligible children age 0-59 months in all interviewed households.

The Health Facility Questionnaire was used to record vaccination information for all children without a vaccination card seen during the mother’s interview.

The Fieldworker’s Questionnaire collected background information about interviewers and other fieldworkers who participated in the 2019 EMDHS data collection.

Cleaning operations

All electronic data files were transferred via the secure internet file streaming system (IFSS) to the EPHI central office in Addis Ababa, where they were stored on a password-protected computer. The data processing operation included secondary editing, which required resolution of computer-identified inconsistencies and coding of open-ended questions. The data were processed by EPHI staff members and an ICF consultant who took part in the main fieldwork training. They were supervised remotely by staff from The DHS Program. Data editing was accomplished using CSPro System software. During the fieldwork, field-check tables were generated to check various data quality parameters, and specific feedback was given to the teams to improve performance. Secondary editing, double data entry from both the anthropometry and health facility questionnaires, and data processing were initiated in April 2019 and completed in July 2019.

Response rate

A total of 9,150 households were selected for the sample, of which 8,794 were occupied. Of the occupied households, 8,663 were successfully interviewed, yielding a response rate of 99%. In the interviewed households, 9,012 eligible women were identified for individual interviews; interviews were completed with 8,885 women, yielding a response rate of 99%. Overall, there was little variation in response rates according to residence; however, rates were slightly higher in rural than in urban areas.