In 2023, the annual population growth in Ethiopia remained nearly unchanged at around 2.6 percent. Yet 2023 saw the lowest population growth in Ethiopia with 2.6 percent. Population growth deals with the annual change in total population, and is affected by factors such as fertility, mortality, and migration.Find more key insights for the annual population growth in countries like Uganda and Somalia.

Abstract

Statistical data reflect the socio-economic and demographic conditions of the residents of a country are useful for designing and preparation of development plans and for monitoring and evaluation of the impact of the implementation of the development plans. These statistical data include population size, age, sex, fertility, mortality, migration, literacy and education, marital status, occupation, industry, housing stocks and conditions… etc. In order to fill the gap for these socio-economic and demographic data need, Ethiopia conducted its second National population and Housing Census in October 1994.

The 1994 Population and Housing Census of Ethiopia was conducted under the auspices of the population and housing census commission that was set up under proclamation No. 32/1992. The commission was chaired by the prime minister and the members of the commission were drawn from various relevant ministries. The Central Statistical Authority served as the office of the commission (secretariat). Hence the processing, evaluation and analyses of the data collected in this census as well as its dissemination are the responsibilities of this office.

Geographic coverage

National coverage

Analysis unit

Household Person Housing unit

Kind of data

Census/enumeration data [cen]

Sampling procedure

All household in all housing units are counted. Systematic selection procedure used to decide whether to use long or short questioner. During the three days before the census day all households and housing units were listed in a separate form designed for this purpose, this list was used to identify the type of questionnaire that was to be administered to the households. One out of the fife household was selected to interview using long questionnaire, while the other four were interviewed using short questionnaire. Resident of hotels, hostels and other collective quarters were always interviewed using long questionnaire. Short questionnaire administered for the homeless persons. Weight were applied the information collected in order to let the data represent the entire population. This means the fingers presented in tables that refer disability, education, economic activity, migration, fertility, mortality and housing stock and condition represent the entire population.

The fact that the information was collected from a sample of household and not from the entire household does not make the information less reliable. In fact this process increase the quality of the information collected by reducing the work load that would have been faced if all household were covered using the long questionnaire. The reduction of work load improves the quality of the data because it is expected to facilitate a closer supervision during the field work, enable better data coding and editing, and enable the timely processing of the data collected.

Mode of data collection

Face-to-face [f2f]

Research instrument

Two type of questionnaires were used to collect census data: i) Short questionnaire ii) Long urban and rural questionnaire

The difference between the two questionnaire is number of variables. The data collected using the short questionnaire included basic information on population such as size, sex, age, language, ethnic group, religion and marital status. The data collected using the long questionnaire included information on disability, education, economic activity, migration, fertility, mortality and housing stock and condition.

The population density in Ethiopia increased by 2.9 inhabitants per square kilometer (+2.68 percent) in 2022 in comparison to the previous year. With 111.1 inhabitants per square kilometer, the population density thereby reached its highest value in the observed period. Notably, the population density continuously increased over the last years.Population density refers to the number of people living in a certain country or area, given as an average per square kilometer. It is calculated by dividing the total midyear population by the total land area.Find more key insights for the population density in countries like Madagascar and Somalia.

Socio-demographic and economic characteristics of adult population in Woldia town, Northeast Ethiopia, 2020.

Abstract

Population as a producer and consumer is closely related with agriculture. On the one hand, population affects production in general and agricultural outputs in particular by furnishing the required labour. On the other hand, the size of a population and its anticipated growth is the main factor determining food consumption requirements. Regarding the balance between population and consumption, if more people are to be fed than the food or services produced, saving and capital investments will be negatively affected. Moreover, population growth also negatively influences agriculture by putting pressure on the environment, such as water, fertility of land, etc. Population size further influence productivity mainly through the diversification and specialization of the economy, the size of the market, and the importance of foreign trade.

Not only the size, but also the socio-economic characteristics of the population of the agricultural households are important to the agricultural production. Study of the nature of the agricultural sector of a country will not be complete without proper understanding of the socio-economic characteristics of the population engaged in it. The population statistics of the agricultural households can be used to describe the characteristics and distribution of the population in space, its density and degree of concentration, the fluctuation in its rate of growth and the movement from one area to another. Data on population and agriculture will also help in finding out what percentage of resources will be needed at a particular time for the meeting of basic needs of the people and what amount of socially useful and productive labour is available in the country, regardless of whether labour or capital intensive techniques will suit the nation's economy.

Generally, an analysis of statistical data on population residing in agricultural households is important to assess the size, structure and characteristics of the human resources involved in and supported by the sector. Such kind of information will provide the human background for planners and policy makers in their attempt to formulate policies that helps to improve the sector's output as well as the living conditions of the rural population.

Cognizant of this fact, the 2001-2002 Ethiopian Agricultural Sample Enumeration has collected basic social and economic characteristics of the population in agricultural households in October 2001.

Geographic coverage

The 2001-2002 (1994 E.C) Agricultural Sample Enumeration was designed to cover the rural and urban parts of all districts (Weredas) in the country on a large-scale sample basis excluding the pastoralist areas of the Afar and Somali regional states.

Analysis unit

• Household
• Household members / individuals
• Holder

Universe

Agricultural households from the nationally sampled area. The population in agricultural households comprises of all persons residing in households with at least one agricultural holder, where a holder is defined as a person who exercises management and control over the operation of the agricultural holding such as land and livestock and makes the major decision regarding the utilization of the available resources.

Kind of data

Census/enumeration data [cen]

Sampling procedure

Sampling Frame The list of enumeration areas for each wereda was compiled from the 1994 Ethiopian Population and Housing Census cartographic work and was used a frame for the selection of the Primary Sampling Units (PSU). The 1994 Population and Housing Census enumeration area maps of the region for the selected sample EA's were updated, and the EA boundaries and descriptions were further clarified to reflect the current physical situation. The sampling frame used for the selection of ultimate sampling units (agricultural households) was a fresh list of households, which was prepared by the enumerator assigned in the sampled EA's using a prescribed listing instruction at the beginning of the launching of the census enumeration.

Sample Design In order to meet the objectives and requirements of the EASE, a stratified two-stage cluster sample design was used for the selection of ultimate sampling units. Thus, in the regions each wereda was treated as stratum for which major findings of the sample census are reported. The primary sampling units are the enumeration areas and the agricultural households are secondary (ultimate) sampling units. Finally, after the selection of the sample agricultural households, the various census forms were administered to all agricultural holders within the sampled agricultural households.

For the private peasant holdings in the rural areas a fixed number (25) of sample EA's in each wereda and 30 agricultural households in each EA were randomly selected (determined). In urban areas, weredas with urban EA's of less than or equal to 25, all the EA's were covered. However, for weredas with greater than 25 urban EA's, sample size of 25 EA's was selected. In each sampled urban EA, 30 agricultural households were randomly selected for the census. The sampled size determination in each wereda and thereby in each EA was based upon the required precision level of the major estimates and the cost consideration. The pilot survey and the previous year annual agricultural sample survey results were used to determine the required sample sizes per wereda.

Sample Selection of Primary Sampling Units Within each wereda (stratum) in the region, the selection of EAs was carried out using probability proportional to size systematic sampling. In this case, size being total number of agricultural households in each EA obtained from the listing exercise undertaken in the 1994 Ethiopian Population and Housing Census of the region.

Listing of Households and Selection of Agricultural Households In each sampled enumeration area of the region, a complete and fresh listing of households was carried out by canvassing the households in the EA. After a complete listing of the households and screening of the agricultural households during the listing operation in the selected EA, the agricultural households were serially numbered. From this list, a total of 30 agricultural households were selected systematically using a random start from the pre-assigned column table of random numbers. The sampling interval for each EA was determined by dividing the total number of agricultural households by 30. For crop cutting exercise purposes (rural domain) a total of 20 agricultural households were randomly selected from the 30 sampled agricultural households. The systematical random sampling technique was employed in this case, because its application is simple and flexible, and it can easily yield a proportionate sample.

Mode of data collection

Face-to-face [f2f]

Research instrument

The rural census questionnaires/forms included:- - Forms 94/0 and 94/1 that are used to record all households in the enumeration area, identify the agricultural households and select the units to be covered by the census. - Form 94/2 is developed to list all the members of the sampled agricultural households and record the demographic and economic characteristics of each of the members. - Forms 94/3A, 94/3B, 94/3C and 94/3D are prepared to enumerate crop data through interview and objective measurement. - Form 94/5 is designed to record crop area data via the physical or objective measurement of crop fields. - Form 94/6 is used to list all the fields under crop and select a crop field for each type of crop randomly for crop cutting exercise. - Forms 94/7A, 94/7B, and 94/7C are developed for recording yield data on cereals, oil seeds, pulses, vegetables root crops and permanent crops by weighing their yields obtained from sub-plots and/or trees selected for crop-cuttings. - Form 94/8 is prepared to enumerate livestock, poultry and beehives data by type, age, sex and purpose including products through interview (subjective approach). - Forms 94/9, 94/10 and 94/11 are used to collect data on crop and livestock product usage; miscellaneous items and farm tools, implements, draught animals and storage facilities, in that order, by interviewing the sample holders. - The last but not least forms are the "Belg" season questionnaires identified as: - 94/12A and 94/12B that are used to record data on farm management practices of the "Belg" season. - Form 94/4 was the questionnaire used for collecting data on crop production forecast for 2001-2002 and the data collected using this form was published in December 2001 subjectively, while 94/12C is for recording "Belg" season crop area through objective measurement and volume of production through interview approach.

On the other hand, the census questionnaires/forms used in the urban areas include:- - Form U-94/1 which used to record all households in the EA, identify the agricultural households and select the units to be covered by the census. - Form U-94/2 is developed to list all the members of the sampled agricultural household and record the demographic and economic characteristics of each of the members. - From U-94/3 is prepared to enumerate crop data through interview method. - Form U-94/4 is prepared to enumerate livestock, poultry and beehives data by type, sex, age and purpose including products through interview (subjective approach). - Form U-94/5 is used to collect data on crop and livestock usage.

Cleaning operations

Editing, Coding and Verification: In the 2001-2002 Ethiopian Agricultural Sample Enumeration (EASE), the filled-in forms that were retrieved from 47 Branch Statistical Offices were primarily received and systematically registered at

Dietary habits among adult population in Woldia town, Northeast Ethiopia, 2020.

Socio-demographic and economic characteristics of respondents, Horro district, Western Ethiopia, 2016.

Risk factors of abdominal obesity among adult population in Woldia town, Northeast Ethiopia, 2020.

Sample size calculation with double population proportion formula using Epi-info version 7 for the unmet need of modern FP in South Gondar, Ethiopia, 2017 [7, 9, 15].

Assumption used to calculate sample size by double population proportion using stat-calc of Epi-info.

In 2023, the annual population growth in Kenya increased by 0.1 percentage points (+5.21 percent) compared to 2022. In total, the population growth amounted to 1.98 percent in 2023. Population growth deals with the annual change in total population, and is affected by factors such as fertility, mortality, and migration.Find more key insights for the annual population growth in countries like Ethiopia and Tanzania.