Total current population for Ethiopia in 2025 is 132,938,555, a 2.48% increase from 2024.

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

<li>Total population for Ethiopia in 2024 was <strong>129,719,719</strong>, a <strong>0.8% increase</strong> from 2023.</li>
<li>Total population for Ethiopia in 2023 was <strong>128,691,692</strong>, a <strong>2.64% increase</strong> from 2022.</li>
<li>Total population for Ethiopia in 2022 was <strong>125,384,287</strong>, a <strong>2.66% increase</strong> from 2021.</li>
</ul>Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.

Graph and download economic data for Population for Ethiopia (POPTTLETA173NUPN) from 1950 to 2010 about Ethiopia and population.

In 1800, the population of Ethiopia was 2.95 million. Like most other Sub-Saharan countries, Ethiopia experienced slow but steady growth for much of the 18th century, and growth which would increase exponentially as the country entered the 20th century. Ethiopia’s population grew more rapidly as the 20th century progressed, however, this growth was offset in the late 1970s, with the beginning of the Ethiopian Civil War and the coinciding Qey Shibir (Red Terror) campaign. However, despite experiencing a significant famine from 1983 to 1985, which would result in approximately one million deaths, Ethiopia’s population would begin to grow rapidly once more, from 35 million in 1980 to 66 million by the beginning of the 21st century. By 2020, Ethiopia is estimated to have a population of almost 115 million, with some experts predicting that Ethiopia may become one of the most populous countries in the world by 2100.

Population ages 65 and above, total in Ethiopia was reported at 4265510 Persons in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Ethiopia - Total Population for Age 65 and above (only 2005 and 2010) (in number of people) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Ethiopia ET: International Migrant Stock: Total data was reported at 1,072,949.000 Person in 2015. This records an increase from the previous number of 567,720.000 Person for 2010. Ethiopia ET: International Migrant Stock: Total data is updated yearly, averaging 540,981.000 Person from Dec 1960 (Median) to 2015, with 12 observations. The data reached an all-time high of 1,155,390.000 Person in 1990 and a record low of 383,551.000 Person in 1965. Ethiopia ET: International Migrant Stock: Total 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. International migrant stock is the number of people born in a country other than that in which they live. It also includes refugees. The data used to estimate the international migrant stock at a particular time are obtained mainly from population censuses. The estimates are derived from the data on foreign-born population--people who have residence in one country but were born in another country. When data on the foreign-born population are not available, data on foreign population--that is, people who are citizens of a country other than the country in which they reside--are used as estimates. After the breakup of the Soviet Union in 1991 people living in one of the newly independent countries who were born in another were classified as international migrants. Estimates of migrant stock in the newly independent states from 1990 on are based on the 1989 census of the Soviet Union. For countries with information on the international migrant stock for at least two points in time, interpolation or extrapolation was used to estimate the international migrant stock on July 1 of the reference years. For countries with only one observation, estimates for the reference years were derived using rates of change in the migrant stock in the years preceding or following the single observation available. A model was used to estimate migrants for countries that had no data.; ; United Nations Population Division, Trends in Total Migrant Stock: 2012 Revision.; Sum;

Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata.

DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted.

REGION: Africa

SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator)

PROJECTION: Geographic, WGS84

UNITS: Estimated persons per grid square

MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743.

FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)

FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available.

Ethiopia data available from WorldPop here.

Abstract

Ethiopia is believed to have the largest livestock population in Africa. This livestock sector has been contributing considerable portion to the economy of the country, and still promising to rally round the economic development of the country. It is eminent that livestock products and by-products in the form of meat, milk, honey, eggs, cheese, and butter supply, ... tc provide mainly the needed animal protein that contribute to the improvement of the nutritional status of the people. Livestock also plays an important role in providing export commodities, such as live animals, hides, and skins to earn foreign exchanges to the country. On the other hand, draught animals provide power for the cultivation of the smallholdings and for crop threshing virtually all over the country and are also essential modes of transport to take holders and their families long-distances, to convey their agricultural products to the market places and bring back their domestic necessities. Livestock as well confer a certain degree of security in times of crop failure, as they are a “near-cash” capital stock. Furthermore, livestock provides farmyard manure that is commonly applied to improve soil fertility and also used as a source of energy.

Due to the very important role that the livestock sector plays in the economy of the country, formulation of development plan regarding the sector is indispensable. It is therefore imperative that livestock development plans and policies should be formulated on the basis of reliable statistical data, and hence, timely and accurate livestock data are required for the formulation, implementation, monitoring, and evaluation of development plans and programs in the sector. These livestock data can be generated mainly using surveys and censuses. In this regard, subsequent surveys and a solitary agricultural census have been carried out by the Central Statistical Agency (CSA) to make available data on livestock. The 2009/10 Annual Agricultural Sample Survey was also conducted to produce these same data so as to keep hold of continuity and update users .

The general objective of the livestock survey is to produce data that could be used for development planning and policy formulation regarding the sector, and the specific objectives are to purvey quantitative information on the size and characteristics of livestock in rural sedentary areas at regional level. In order to meet these objectives, data on: livestock number by type, age, sex, purpose and breed; livestock products particularly milk, egg, and honey; livestock diseases and vaccination; and animal feed were collected from sampled agricultural households in rural sedentary areas.

Geographic coverage

The 2009-2010 (2002 E.C) annual Livestock Sample Survey covered the rural agricultural population in all the regions of the country except the non-sedentary population of three zones of Afar & six zones of Somali regions.

Analysis unit

• Agricultural households
• Holders
• Livestocks

Universe

Households, who were engaged in growing crops and/or breeding and raising livestocks in private or in partnership with others in the selected sample.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampling Frame: The list containing EAs of all regions and their respective agricultural households obtained from the 1999 E.C Cartographic Census Frame was used as the sampling frame in order to select EAs (Primary Sampling Units). Consequently, all sample EAs were selected from this frame based on the design proposed for the survey. Second stage sampling units, households, on the other hand, were selected from a fresh list of households that were prepared for each EA at the beginning of the survey.

Sample Design: A two stage stratified cluster sample design was used to select the sample in which the clusters or primary sampling units (PSUs) were enumeration areas and second stage sampling units were households. Regions are considered as domain of estimation for which major findings of the survey are reported.

Selection Scheme: Enumeration areas from each stratum were selected systematically using probability proportional to size sampling technique; size being number of households of EAs obtained from the 1999 E.C Cartographic Census frame. Within each sample EA 30 agricultural households were selected systematically from the fresh list of households prepared at the beginning of the survey.

Note: Distribution of sampling units (sampled and covered EAs) by stratum is presented in Appendix-II of the 2009-2010 Livestock Sample Survey report.

Sampling deviation

To be covered by the survey, a total of 1,660 enumeration areas (EAs) were selected. However, due to various reasons that are beyond control, in 10 EAs the survey could not be successful and hence interrupted. Thus, all in all the survey succeeded to cover 1,650 EAs (99.4%) throughout the regions.

Mode of data collection

Face-to-face [f2f]

Research instrument

The 2009-2010 Livestock Sample Survey used structured questionnaire to collect data on livestock and livestock characteristics. The questionnaire is organized in to two parts: - Part 1: Identification particulars: This part contains area identification of the selected household. It dealt with area identification of respondents such as Region, Zone, wereda, Farmer's association, Enumeration area household number, holder number, and type of holding. - Part 2: Livestock population and products: This part of the questionnaire dealt with number of cattle, sheep, goats, horses, mules, donkeys, camels by age and purposes; poultry, honey production per beehive, milk and egg; livestock diseases and treatments; number of births, purchases, sales, slaughters, and deaths of livestock; livestock diseases, treatment and vaccination ; and livestock feeds utilization.

Questionnaire used in the field for data collection purpose was prepared in Amharic language. English version of the questionnaire is presented in APPENDIX III of the 2009-2010 survey report which is provided in this metadata.

Cleaning operations

Editing, Coding, and Verification: The editing and coding instruction manuals were prepared, and intensive training was given to the editor-coders. Those trained editors-coders were accomplished the editing and coding tasks. In due course, professional staff members were assigned to facilitate the editing and coding activities and the edited and coded questionnaires were verified by statistical technicians as well as by professionals.

Data Entry, Cleaning, and Processing: The data were entered in personal computers by data encoders using CSpro (Census and Survey Processing system) software. Then the data were checked and cleaned by regular staff members. Finally, the data processing activity was also done by personal computers (PCs) to produce results that were indicated in the tabulation plan.

Response rate

The Livestock Sample Survey was conducted on the basis of 30 agricultural households selected from each EA. Regarding the ultimate sampling units, it was intended to cover a total of 49,800 agricultural households, however, 49,738 (99.9%) were actually covered by the survey.

Sampling error estimates

Estimation procedure of totals, ratios & sampling error, and the measurement of precision of estimates (CV) are given in Appendix-I of the 2009-2010 Livestock Sample Survey report.

Ethiopia ET: Population: Male: Ages 10-14: % of Male Population data was reported at 12.731 % in 2017. This records a decrease from the previous number of 12.947 % for 2016. Ethiopia ET: Population: Male: Ages 10-14: % of Male Population data is updated yearly, averaging 12.475 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 13.754 % in 2010 and a record low of 11.598 % in 1967. Ethiopia ET: Population: Male: Ages 10-14: % 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 10 to 14 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: Population: Female: Ages 10-14: % of Female Population data was reported at 12.456 % in 2017. This records a decrease from the previous number of 12.668 % for 2016. Ethiopia ET: Population: Female: Ages 10-14: % of Female Population data is updated yearly, averaging 12.174 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 13.404 % in 2010 and a record low of 11.370 % in 1980. Ethiopia ET: Population: Female: Ages 10-14: % of Female 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. Female population between the ages 10 to 14 as a percentage of the total female population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;

DATASET: Alpha version 2010 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/). REGION: Africa SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available. DATE OF PRODUCTION: January 2013

Abstract

The 2011 Ethiopia Demographic and Health Survey (EDHS) was conducted by the Central Statistical Agency (CSA) under the auspices of the Ministry of Health.

The principal objective of the 2011 Ethiopia Demographic and Health Survey (EDHS) is to provide current and reliable data on fertility and family planning behaviour, child mortality, adult and maternal mortality, children’s nutritional status, use of maternal and child health services, knowledge of HIV/AIDS, and prevalence of HIV/AIDS and anaemia. The specific objectives are these: - Collect data at the national level that will allow the calculation of key demographic rates; - Analyse the direct and indirect factors that determine fertility levels and trends; - Measure the levels of contraceptive knowledge and practice of women and men by family planning method, urban-rural residence, and region of the country; - Collect high-quality data on family health, including immunisation coverage among children, prevalence and treatment of diarrhoea and other diseases among children under ge five, and maternity care indicators, including antenatal visits and assistance at delivery; - Collect data on infant and child mortality and maternal mortality; - Obtain data on child feeding practices, including breastfeeding, and collect anthropometric measures to assess the nutritional status of women and children; - Collect data on knowledge and attitudes of women and men about sexually transmitted diseases and HIV/AIDS and evaluate patterns of recent behaviour regarding condom use; - Conduct haemoglobin testing on women age 15-49 and children 6-59 months to provide information on the prevalence of anaemia among these groups; - Carry out anonymous HIV testing on women and men of reproductive age to provide information on the prevalence of HIV.

This information is essential for informed policy decisions, planning, monitoring, and evaluation of programmes on health in general and reproductive health in particular at both the national and regional levels. A long-term objective of the survey is to strengthen the technical capacity of the Central Statistical Agency to plan, conduct, process, and analyse data from complex national population and health surveys.

Moreover, the 2011 EDHS provides national and regional estimates on population and health that are comparable to data collected in similar surveys in other developing countries and to Ethiopia’s two previous DHS surveys, conducted in 2000 and 2005. Data collected in the 2011 EDHS add to the large and growing international database of demographic and health indicators.

The survey was intentionally planned to be fielded at the beginning of the last term of the MDG reporting period to provide data for the assessment of the Millennium Development Goals (MDGs).

The survey interviewed a nationally representative population in about 18,500 households, and all women age 15-49 and all men age 15-59 in these households. In this report key indicators relating to family planning, fertility levels and determinants, fertility preferences, infant, child, adult and maternal mortality, maternal and child health, nutrition, women’s empowerment, and knowledge of HIV/AIDS are provided for the nine regional states and two city administrations. In addition, this report also provides data by urban and rural residence at the country level.

Major stakeholders from various government, non-government, and UN organizations have been involved and have contributed in the technical, managerial, and operational aspects of the survey.

Geographic coverage

A nationally representative sample of 17,817 households was selected.

Universe

All women 15-49 who were usual residents or who slept in the selected households the night before the survey were eligible for the survey. A male survey was also conducted. All men 15-49 who were usual residents or who slept in the selected households the night before the survey were eligible for the male survey.

Kind of data

Sample survey data

Sampling procedure

The sample for the 2011 EDHS was designed to provide population and health indicators at the national (urban and rural) and regional levels. The sample design allowed for specific indicators, such as contraceptive use, to be calculated for each of Ethiopia's 11 geographic/administrative regions (the nine regional states and two city administrations). The 2007 Population and Housing Census, conducted by the CSA, provided the sampling frame from which the 2011 EDHS sample was drawn.

Administratively, regions in Ethiopia are divided into zones, and zones, into administrative units called weredas. Each wereda is further subdivided into the lowest administrative unit, called kebele. During the 2007 census each kebele was subdivided into census enumeration areas (EAs), which were convenient for the implementation of the census. The 2011 EDHS sample was selected using a stratified, two-stage cluster design, and EAs were the sampling units for the first stage. The sample included 624 EAs, 187 in urban areas and 437 in rural areas.

Households comprised the second stage of sampling. A complete listing of households was carried out in each of the 624 selected EAs from September 2010 through January 2011. Sketch maps were drawn for each of the clusters, and all conventional households were listed. The listing excluded institutional living arrangements and collective quarters (e.g., army barracks, hospitals, police camps, and boarding schools). A representative sample of 17,817 households was selected for the 2011 EDHS. Because the sample is not self-weighting at the national level, all data in this report are weighted unless otherwise specified.

In the Somali region, in 18 of the 65 selected EAs listed households were not interviewed for various reasons, such as drought and security problems, and 10 of the 65 selected EAs were not listed due to security reasons. Therefore, the data for Somali may not be totally representative of the region as a whole. However, national-level estimates are not affected, as the percentage of the population in the EAs not covered in the Somali region is proportionally very small.

SAMPLING FRAME

The sampling frame used for 2011 EDHS is the Population and Housing Census (PHC) conducted in 2007 provided by the Central Statistical Agency (CSA, 2008). CSA has an electronic file consisting of 81,654 Enumeration Areas (EA) created for the 2007 census in 10 of its 11 geographic regions. An EA is a geographic area consisting of a convenient number of dwelling units which served as counting unit for the census. The frame file contains information about the location, the type of residence, and the number of residential households for each of the 81,654 EAs. Sketch maps are also available for each EA which delimitate the geographic boundaries of the EA. The 2007 PHC conducted in the Somali region used a different methodology due to difficulty of access. Therefore, the sampling frame for the Somali region is in a different file and in different format. Due to security concerns in the Somali region, in the beginning it was decided that 2011 EDHS would be conducted only in three of nine zones in the Somali region: Shinile, Jijiga, and Liben, same as in the 2000 and 2005 EDHS. However, a later decision was made to include three other zones: Afder, Gode and Warder. This was the first time that these three zones were included in a major nationwide survey such as the 2011 EDHS. The sampling frame for the 2011 EDHS consists of a total of 85,057 EAs.

The sampling frame excluded some special EAs with disputed boundaries. These EAs represent only 0.1% of the total population.

Ethiopia is divided into 11 geographical regions. Each region is sub-divided into zones, each zone into Waredas, each Wareda into towns, and each town into Kebeles. Among the 85,057 EAs, 17,548 (21 percent) are in urban areas and 67,509 (79 percent) are in rural areas. The average size of EA in number of households is 169 in an urban EA and 180 in a rural EA, with an overall average of 178 households per EA. Table A.2 shows the distributions of households in the sampling frame, by region and residence. The data show that 81 percent of the Ethiopia’s households are concentrated in three regions: Amhara, Oromiya and SNNP, while 4 percent of all households are in the five smallest regions: Afar, Benishangul-Gumuz, Gambela, Harari and Dire Dawa.

Mode of data collection

Face-to-face [f2f]

Research instrument

The 2011 EDHS used three questionnaires: the Household Questionnaire, the Woman’s Questionnaire, and the Man’s Questionnaire. These questionnaires were adapted from model survey instruments developed for the MEASURE DHS project to reflect the population and health issues relevant to Ethiopia. Issues were identified at a series of meetings with the various stakeholders. In addition to English, the questionnaires were translated into three major languages—Amharigna, Oromiffa, and Tigrigna.

The Household Questionnaire was used to list all the usual members and visitors of selected households. Basic information was collected on the characteristics of each person listed, including age, sex, education, and relationship to the head of the household. For children under age 18, survival status of the parents was determined. The data on the age and sex of household members obtained in the Household Questionnaire were used to identify women and men who were eligible for the individual interview. The Household Questionnaire also collected information on characteristics of the household’s dwelling unit, such as the source of water, type of toilet facilities, materials used for the floor of the house, and ownership of various consumer

Ethiopia immigration statistics for 2015 was 1,072,949, a 88.99% increase from 2010.

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

<li>Ethiopia immigration statistics for 2010 was <strong>567,720</strong>, a <strong>10.4% increase</strong> from 2005.</li>
<li>Ethiopia immigration statistics for 2005 was <strong>514,242</strong>, a <strong>15.89% decline</strong> from 2000.</li>
<li>Ethiopia immigration statistics for 2000 was <strong>611,384</strong>, a <strong>24.23% decline</strong> from 1995.</li>
</ul>International migrant stock is the number of people born in a country other than that in which they live. It also includes refugees. The data used to estimate the international migrant stock at a particular time are obtained mainly from population censuses. The estimates are derived from the data on foreign-born population--people who have residence in one country but were born in another country. When data on the foreign-born population are not available, data on foreign population--that is, people who are citizens of a country other than the country in which they reside--are used as estimates. After the breakup of the Soviet Union in 1991 people living in one of the newly independent countries who were born in another were classified as international migrants. Estimates of migrant stock in the newly independent states from 1990 on are based on the 1989 census of the Soviet Union. For countries with information on the international migrant stock for at least two points in time, interpolation or extrapolation was used to estimate the international migrant stock on July 1 of the reference years. For countries with only one observation, estimates for the reference years were derived using rates of change in the migrant stock in the years preceding or following the single observation available. A model was used to estimate migrants for countries that had no data.

Abstract

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

Geographic coverage

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

Analysis unit

• Household
• Individual
• Consumption expenditure items

Universe

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

Kind of data

Sample survey data [ssd]

Sampling procedure

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

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

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

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

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

Mode of data collection

Face-to-face [f2f]

Research instrument

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

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

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

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

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

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

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

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

Cleaning operations

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

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

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

This interactive map of Ethiopia identifies the woredas (districts) where the AGP is active. GAFSP contributes about 23% of the total AGP financing, which is also supported by other development partners, including the Canadian International Development Agency (CIDA), the Spanish Agency for International Development Cooperation (AECID), the Kingdom of the Netherlands, the United Nations Development Program (UNDP), and the United States Agency for International Development (USAID). GAFSP funds are being channeled into a pooled AGP fund to increase donor coordination and to decrease project administrative costs. The map is broken down into 11 regions, 81 zones, and 550 woredas (districts). The 83 AGP project areas (at the woreda level) are spread across the four regions of Amhara, Oromiya, Tigray, and Southern Nations, Nationalities, and Peoples Region (SNNPR). AGP activities are primarily in the highlands temperate mixed zones, where the climatic conditions are relatively temperate and that, with AGP support, have considerable potential for agricultural growth. In these areas, small-scale farmers crop an average area of less than 1 hectare (ranging between 0.25 and 2.3 hectares). The interactive map shows sub-national poverty and population density data, as well as information on the predominant farming systems in the various regions. Data Sources: AGP Project LocationsSource: Project Appraisal Document (PAD). Africa Juice Project LocationSource: IFC - GAFSP Documents. Poverty (Proportion of population below the poverty line) (2005): Proportion of the population living on less than US$1.25 a day, measured at 2005 international prices, adjusted for purchasing power parity (PPP).Source: Harvest Choice / Multiple national household surveys; PovcalNet; The World Bank; and Centro Internacional de Agricultura Tropical (CIAT). 2011. Sub-national poverty headcount ratios derived from 23 nationally representative household surveys and population census information conducted in various years. Rates are for the $1.25/day (extreme poverty) expressed in 2005 international equivalent purchasing power parity (PPP) dollars. Rates are in percentages of total population. (Aggregation type: WGHTD). Poverty (Proportion of population below the poverty line) (2011): Proportion of the population living on less than 3,781 Birr per adult per year.Source: Ministry of Finance and Economic Development. “Ethiopia’s Progress Towards Eradicating Poverty: An Interim Report on Poverty Analysis Study (2010/11).” Malnutrition (Proportion of underweight children under 5 years) (2011): Prevalence of severely underweight children is the percentage of children aged 0-59 months whose weight-for-age is less than minus 3 standard deviations below the median weight for age of the international reference population.Source: “Demographic and Health Survey 2011.” Measure DHS.MEASURE DHS (Demographic and Health Surveys) Project is responsible for collecting and disseminating accurate, nationally representative data on health and population in developing countries. The project is implemented by Macro International, Inc. and is funded by the United States Agency for International Development (USAID) with contributions from other donors such as UNICEF, UNFPA, WHO, UNAIDS. Malnutrition (Proportion of underweight children under 5 years) (2016): Prevalence of severely underweight children is the percentage of children aged 0-59 months whose weight for age is less than minus 3 standard deviations below the median weight for age of the international reference population.Source: Central Statistical Agency CAS. “Demographic and Health Survey 2016.” Measure DHS. Population Density (Persons per 1 square kilometer) (2007): Population divided by land area in square kilometers.Total population (2015): Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship, except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin.Source: Central Statistical Agency CAS. Projections based on the results of the May 2007 National Population and Housing Census of Ethiopia. Population Density (2015): Population divided by land area in square kilometers.Source: Central Statistical Agency CAS. Projections based on the results of the May 2007 National Population and Housing Census of Ethiopia. Market Centers: Key market centers for retail, assembly and/ or wholesale of agricultural products. FEWS NET reference markets.Source: FEWS Net. The Famine Early Warning Systems Network (FEWS NET) is a USAID-funded activity that collaborates with international, regional and national partners to provide timely and rigorous early warning and vulnerability information on emerging and evolving food security issues. Farming Systems (2001): Farming systems according to FAO methodology: Agro-pastoral land, millet-sorghum, highland perennial, maize mixed, irrigated land, pastoral land and sparse arid Land.Source: Harvest Choice / Dixon, J. and A. Gulliver with David Gibbon, Principal Editor: Malcolm Hall. Improving Farmers' Livelihoods in a Changing World. FAO/World Bank. 2001. (Aggregation type: NONE) Land cover (2009): Land cover defined as the physical material at the surface or earth, vegetation planted or man-made constructions (water, ice, bare rock, sand, grass, asphalt, trees, etc.). Land cover can be determined by analyzing satellite and aerial imagery.Source: 3R Initiative (RAIN, Acacia Water, MetaMeta, Aqua for all, BGR and IGRAC). “Global Land Cover.” www.hoefsloot.com/horn/ Sorghum Area (2015-16): Area in hectares of agriculture land used for sorghum.Source: Central Statistical Agency CAS. “Agricultural Sample Survey (AgSS) 2015/2016 (2008 E.C.) Report on Area and Production of Major Crops.” Sorghum Production (2015-16): Sorghum harvested expressed in tons.Source: Central Statistical Agency CAS. “Agricultural Sample Survey (AgSS) 2015/2016 (2008 E.C.). Report on Area and Production of Major Crops.” Maize Area (2015-16): Area in hectares of agriculture land used for Maize.Source: Central Statistical Agency CAS. “Agricultural Sample Survey (AgSS) 2015/2016 (2008 E.C.). Report on Area and Production of Major Crops.” Maize Production (2015-16): Maize harvested expressed in tons.

Source: Central Statistical Agency CAS. “Agricultural Sample Survey (AgSS) 2015/2016 (2008 E.C.). Report on Area and Production of Major Crops.”The maps displayed on this website are for reference only. The boundaries, colors, denominations and any other information shown on these maps do not imply, on the part of GAFSP (and the World Bank Group), any judgment on the legal status of any territory, or any endorsement or acceptance of such boundaries.

Ethiopia ET: Rural Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data was reported at 0.000 % in 2010. This stayed constant from the previous number of 0.000 % for 2000. Ethiopia ET: Rural Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data is updated yearly, averaging 0.000 % from Dec 1990 (Median) to 2010, with 3 observations. Ethiopia ET: Rural Population Living in Areas Where Elevation is Below 5 Meters: % of Total 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: Land Use, Protected Areas and National Wealth. Rural population below 5m is the percentage of the total population, living in areas where the elevation is 5 meters or less.; ; Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.; Weighted Average;

Abstract

Statistical information on all aspects of the population is vital for the design, implementation, monitoring and evaluation of economic and social development plan and policy issues. Labour force survey is one of the most important sources of data for assessing the role of the population of the country in the economic and social development process. It is useful to indicate the extent of available and unutilized human resources that must be absorbed by the national economy to ensure full employment and economic well being of the population. Statistics on the labour force further deals with the measurement of economic activity status and its relationship between other social and economic characteristics of the population. Seasonal and other variations as well as changes over time in the size and characteristics of the employment and unemployment can be monitored using up-to-date information from labour force surveys. It is also an input for assessing the meeting of the Millennium Development Goals (MDGs). Furthermore, data on economic activity and other labour force data would be used as a springboard for monitoring and evaluation of the five years growth and transformation plan that launched at different levels of the country.

In order to fill the gap in data requirement for the purpose of socio-economic development planning, monitoring and evaluation, the Central Statistical Agency (CSA) has been providing labour force and related data at different levels with various contents and details. These include the 1976 Addis Ababa Manpower and Housing Sample Survey, the 1978 Survey on Population and Housing Characteristics of Seventeen Major Towns, the 1980/81 and 1987/88 Rural Labour Force Surveys (RLFS). Also, the 1984, 1994 and 2007 Population and Housing Censuses and the 1999 and 2005 National Labour Force Surveys provided a comprehensive national labour force data representing both urban and rural areas.

The survey results mainly provide data on the main characteristics of employed and unemployed, that is, the work force engaged or available to be engaged in the production of economic goods and services and its distribution in the various sectors of the economy during a given reference period.

To capture child labour data, the former minimum age limit 10 years was lower down to 5 years during the survey periods May 2009 and May 2010. Therefore, the data in these surveys was collected from those persons aged five years and over. However, for the purpose of measuring the economic activity status based on Ethiopian situation the lower age limit was fixed at ten years. This is because children in rural and urban areas used to work at their early age such as collection of fire wood, looking after cattle, shoeshine, street vendor, petty trading…etc. Therefore, the May 2010 Urban Employment and Unemployment Survey statistical report is mainly aimed at providing information on the economic characteristics of the population aged ten years and over.

In addition, a separate section that deals with filtering question for informal employment sector were also attached to the main questionnaire as a module. Except this section, almost similar questions that were used for the fourth round are administered in this series.

Geographic coverage

The 2010 Urban Employment and Unemployment Survey (UEUS) covered all urban parts of the country except three zones of Afar, Six zones of Somali, where the residents are pastoralists.

Analysis unit

• Household
• Individual aged 10 years and above

Universe

This survey follows household approach and covers households residing in conventional households and thus, population residing in the collective quarters such as universities/colleges, hotel/hostel, monasteries and homeless population etc., are not covered by this survey.

Kind of data

Sample survey data [ssd]

Sampling procedure

SAMPLING FRAME The list of households obtained from the 2007 population and housing census is used to select EAs. A fresh list of households from each EA was prepared at the beginning of the survey period. The list was then used as a frame in order to select households from sample EAs.

SAMPLE DESIGN For the purpose of the survey the country was divided into two broad categories. That is major urban center and other urban center categories.

Category I:- Major urban centers:- In this category all regional capitals and four other major urban centers that have a high population size as compared to others were included. Each urban center in this category was considered as a reporting level. The category has a total of 15 reporting levels. In this category, in order to select the sample, a stratified two-stage cluster sample design was implemented. The primary sampling units were EAs of each reporting level. From each sample EA 30 households were then selected as a Second Stage Unit (SSU).

Category II:- Other urban centers: Urban centers in the country other than those under category I were grouped into this category. A domain of other urban centers is formed for each region. Consequently 8 reporting levels were formed in this category. Harari, Addis Ababa and Dire Dawa do not have urban centers other than that grouped in category I. Hence, no domain was formed for these regions under this category.

A stratified three stage cluster sample design was adopted to select samples from this category. The primary sampling units were urban centers and the second stage sampling units were EAs. From each EA 30 households were finally selected at the third stage and the survey questionnaires administered for all of them.

SAMPLE SIZE AND SELECTION SCHEME Category I: - In this category 394 EAs and 11,820 households were selected. Sample EAs from each reporting level in this category were selected using probability proportional to size systematic sampling; size being number of households obtained from the 2007 population and housing census. From the fresh list of households prepared at the beginning of the survey, 30 households per EA were systematically selected and covered by the study.

Category II:- 81 urban centers, 266 EAs and 7,980 households were selected in this category. Urban centers from each domain and EAs from each urban center were selected using probability proportional to size systematic method; size being number of households obtained from the 2007 Population and housing census. From the listing of each EA then 30 households were systematically selected and the study performed on them.

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey questionnaire is organized into six sections; Section - 1: Area identification of the selected household: this section deals with area identification of respondents such as region, zone, wereda, etc. Section - 2: Particulars of household members: it consists of the general socio-demographic characteristics of the population such as age, sex, educational status, types of training and marital status. Section - 3: Economic activity during the last seven days: this section deal with whether persons were engaged in productive activities or not during the last seven days prior to date of interview, the status and characteristics of employed persons such as occupation, industry, employment status, hours of work, employment sector /formal and informal employment/ and earnings from paid employment. Section - 4: Unemployment rate and characteristics of unemployed persons: this section focuses on the size, distribution and characteristics of the unemployed population and unemployment rate only for those aged 10 years and over. Section - 5: Economic activity during the last six months: this section contains information on the economic activity status of the population in the long reference period or during the last six months.
Section - 6: Economic activity of children aged 5-17 years: this section consists of information on the participation of children aged 5-17 years in the economic activities, whether attending education, reason for not attending education…etc.

Cleaning operations

The filled-in questionnaires that were retrieved from the field were first subjected to manual editing and coding. During the fieldwork the field supervisors and the heads of branch statistical offices have checked the filled-in questionnaires and carried out some editing. However, the major editing and coding operation was carried out at the head office. All the edited questionnaires were again fully verified and checked for consistency before they were submitted to the data entry by the subject matter experts.

Using the computer edit specifications prepared earlier for this purpose, the entered data were checked for consistencies and then computer editing or data cleaning was made by referring back to the filled-in questionnaire. This is an important part of data processing operation in attaining the required level of data quality. Consistency checks and re-checks were also made based on frequency and tabulation results. This was done by senior programmers using CSPro software in collaboration with the senior subject experts from Manpower Statistics Team of the CSA.

Response rate

It was initially planned to cover 660 EAs and 19800 households in the survey, but ultimately 100% of EAs and 99.7% of households were successfully covered.

Ethiopia ET: Urban Population Living in Areas Where Elevation is Below 5 meters: % of Total Population data was reported at 0.000 % in 2010. This stayed constant from the previous number of 0.000 % for 2000. Ethiopia ET: Urban Population Living in Areas Where Elevation is Below 5 meters: % of Total Population data is updated yearly, averaging 0.000 % from Dec 1990 (Median) to 2010, with 3 observations. Ethiopia ET: Urban Population Living in Areas Where Elevation is Below 5 meters: % of Total 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: Land Use, Protected Areas and National Wealth. Urban population below 5m is the percentage of the total population, living in areas where the elevation is 5 meters or less.; ; Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.; Weighted Average;

Ethiopia ET: Coverage: Social Safety Net Programs: 3rd Quintile: % of Population data was reported at 12.637 % in 2010. This records an increase from the previous number of 0.667 % for 2004. Ethiopia ET: Coverage: Social Safety Net Programs: 3rd Quintile: % of Population data is updated yearly, averaging 6.652 % from Dec 2004 (Median) to 2010, with 2 observations. The data reached an all-time high of 12.637 % in 2010 and a record low of 0.667 % in 2004. Ethiopia ET: Coverage: Social Safety Net Programs: 3rd Quintile: % of 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.WDI: Social Protection. Coverage of social safety net programs shows the percentage of population participating in cash transfers and last resort programs, noncontributory social pensions, other cash transfers programs (child, family and orphan allowances, birth and death grants, disability benefits, and other allowances), conditional cash transfers, in-kind food transfers (food stamps and vouchers, food rations, supplementary feeding, and emergency food distribution), school feeding, other social assistance programs (housing allowances, scholarships, fee waivers, health subsidies, and other social assistance) and public works programs (cash for work and food for work). Estimates include both direct and indirect beneficiaries.; ; ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/); Simple average;

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.

Abstract

The general objective of CSA's Agricultural Sample Survey (AgSS) is to collect basic quantitative information on the country's agriculture that is essential for planning, policy formulation, monitoring and evaluation of mainly food security and other agricultural activities. The AgSS is composed of four components: Crop Production Forecast Survey, Meher Season Post Harvest Survey (Area and production, land use, farm management and crop utilization), Livestock Survey and Belg Season Survey.

The specific objectives of Meher Season Post Harvest Survey are to estimate the total crop area, volume of crop production and yield of crops for Meher Season agriculture in Ethiopia. The report is based on private peasant holdings in rural sedentary areas of the country and part of companion reports on the performance of agriculture in the country. The report is compiled at national and regional level only.

Geographic coverage

The 2009-2010 (2002 E.C) annual Agricultural Sample Survey ("Meher" season) covered the entire rural parts of the country except the non-sedentary population of three zones of Afar & six zones of Somali regions.

Analysis unit

Agricultural household/ Holder/ Crop

Universe

Agricultural households

Kind of data

Sample survey data [ssd]

Sampling procedure

SAMPLING FRAME: The list containing EAs of all regions and their respective households obtained from the 1999 E.C cartographic census frame was used as the sampling frame in order to select the primary sampling units (EAs). Consequently, all sample EAs were selected from this frame based on the design proposed for the survey. The second stage sampling units, households, were selected from a fresh list of households that were prepared for each EA at the beginning of the survey.

SAMPLE DESIGN: In order to select the sample a stratified two-stage cluster sample design was implemented. Enumeration areas (EAs) were taken to be the primary sampling units (PSUs) and the secondary sampling units (SSUs) were agricultural households. The sample size for the 2009/10 agricultural sample survey was determined by taking into account of both the required level of precision for the most important estimates within each domain and the amount of resources allocated to the survey. In order to reduce non-sampling errors, manageability of the survey in terms of quality and operational control was also considered. All regions were taken to be the domain of estimation for which major findings of the survey are reported.

SELECTION SCHEME: Enumeration areas from each stratum were selected systematically using probability proportional to size sampling technique; size being number of agricultural households. The sizes for EAs were obtained from the 1999 E.C cartographic census frame. From the fresh list of households prepared at the beginning of the survey 20 agricultural households within each sample EA were selected systematically. Estimation procedure of totals, ratios, sampling error and the measurement of precision of estimates (CV) are given in Appendix-I and II respectively. Distribution of sampling units (sampled and covered EAs and households) by stratum is also presented in Appendix-III.

Mode of data collection

Face-to-face [f2f]

Research instrument

The 2009-2010 annual Agricultural Sample Survey used structured questionnaires to collect agricultural information from selected sample households. List of forms in the questionnaires: - AgSS Form 2002/0: It contains forms that used to list all households in the sample areas. - AgSS Form 2002/1: It contains forms that used to list selected agricultural households and holders in the sample areas. - AgSS Form 2002/2A: It contains forms that used to collect information about crops, results of area measurements covered by crops and other land uses. - AgSS Form 2002/2B: It contains forms that used to collect information about miscellaneous questions for the holders. - AgSS Form 2002/4: It contains forms that used to collect information about list of temporary crop fields for selecting crop cutting plots. - AgSS Form 2002/5: It contains forms that used to collect information about list of temporary crop cutting results.

Cleaning operations

a) Editing, Coding and Verification: Statistical data editing plays an important role in ensuring the quality of the collected survey data. It minimizes the effects of errors introduced while collecting data in the field, hence the need for data editing, coding and verification. Although coding and editing are done by the enumerators and supervisors in the field, respectively, verification of this task is done at the Head Office. An editing, coding and verification instruction manual was prepared and reproduced for this purpose. Then 66 editorscoders and verifiers were trained for two days in editing, coding and verification using the aforementioned manual as a reference and teaching aid. The completed questionnaires were edited, coded and later verified on a 100 % basis before the questionnaires were passed over to the data entry unit. The editing, coding and verification exercise of all questionnaires took 18 days.

b) Data Entry, Cleaning and Tabulation: Before data entry, the Natural Resources and Agricultural Statistics Department of the CSA prepared edit specification for the survey for use on personal computers for data consistency checking purposes. The data on the edited and coded questionnaires were then entered into personal computers. The data were then checked and cleaned using the edit specifications prepared earlier for this purpose. The data entry operation involved about 70 data encoders, 10 data encoder supervisors, 12 data cleaning operators and 55 personal computers. The data entered into the computers using the entry module of the CSPRO (Census and Survey Processing System) software, which is a software package developed by the United States Bureau of the Census. Following the data entry operations, the data was further reviewed for data inconsistencies, missing data … etc. by the regular professional staff from Natural Resources and Agricultural Statistics Department. The final stage of the data processing was to summarizing the cleaned data and produce statistical tables that present the results of the survey using the tabulation component of the PC based CSPRO software produced by professional staff from Data processing Department.

Response rate

A total of 1,660 Enumeration Areas (EAs) were selected. However, due to various reasons that are beyond control, in 25 EAs the survey could not be successful and hence interrupted. Thus, all in all the survey succeeded to cover 1,635 EAs (98.5 %) throughout the regions. The Annual Agricultural Sample survey (Meher season) was conducted on the basis of 20 agricultural households selected from each EA. Regarding the ultimate sampling units, it was intended to cover a total of 33,200 agricultural households, however, 32,630 (98.3 %) were actually covered by the survey.

Sampling error estimates

Estimation procedure of totals, ratios, sampling error and the measurement of precision of estimates (CV) are given in Appendix-I and II of the report. Distribution of sampling units (sampled and covered EAs and households) by stratum is also presented in Appendix-III.