Egypt EG: GDP: Growth: Adjusted Net National Income per Capita data was reported at 2.758 % in 2016. This records a decrease from the previous number of 6.429 % for 2015. Egypt EG: GDP: Growth: Adjusted Net National Income per Capita data is updated yearly, averaging 2.463 % from Jun 1971 (Median) to 2016, with 46 observations. The data reached an all-time high of 14.355 % in 1991 and a record low of -10.552 % in 1979. Egypt EG: GDP: Growth: Adjusted Net National Income per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Egypt – Table EG.World Bank.WDI: Gross Domestic Product: Annual Growth Rate. Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion.; ; World Bank staff estimates based on sources and methods in World Bank's 'The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium' (2011).; Weighted average;

Egypt EG: GDP: Growth: Adjusted Net National Income data was reported at 4.852 % in 2016. This records a decrease from the previous number of 8.708 % for 2015. Egypt EG: GDP: Growth: Adjusted Net National Income data is updated yearly, averaging 4.394 % from Jun 1971 (Median) to 2016, with 46 observations. The data reached an all-time high of 17.024 % in 1991 and a record low of -8.374 % in 1979. Egypt EG: GDP: Growth: Adjusted Net National Income data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Egypt – Table EG.World Bank.WDI: Gross Domestic Product: Annual Growth Rate. Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion.; ; World Bank staff estimates based on sources and methods described in 'The Changing Wealth of Nations 2018: Building a Sustainable Future' (Lange et al 2018).; Weighted average;

Adjusted net national income (current US$) in Egypt was reported at 353377027801 USD in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Egypt - Adjusted net national income - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Egypt EG: GDP: USD: Adjusted Net National Income data was reported at 299.192 USD bn in 2016. This records an increase from the previous number of 298.588 USD bn for 2015. Egypt EG: GDP: USD: Adjusted Net National Income data is updated yearly, averaging 39.659 USD bn from Jun 1970 (Median) to 2016, with 47 observations. The data reached an all-time high of 299.192 USD bn in 2016 and a record low of 7.329 USD bn in 1970. Egypt EG: GDP: USD: Adjusted Net National Income data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Egypt – Table EG.World Bank: Gross Domestic Product: Nominal. Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion.; ; World Bank staff estimates based on sources and methods described in 'The Changing Wealth of Nations 2018: Building a Sustainable Future' (Lange et al 2018).; Gap-filled total;

The growth rate of Egypt’s gross domestic product (GDP) in 2021 was 3.25 percent after adjusting for inflation. At that time, the Egyptian economy was projected to increase growth to around 5.48 percent in 2030. What is GDP? Gross domestic product, or GDP, is the sum of all consumption, investment, and government spending in an economy, plus the net exports. This figure is the most commonly used measurement of an economy’s size. Also interesting is GDP per capita, which is GDP divided by the total population. This gives an idea of the level of development in a country. Reasons to follow GDP growth GDP growth can give an idea of a country’s future finances. This is important for countries with a negative budget balance. These countries need to secure loans to finance their deficits, and higher growth forecasts show a better ability to repay these loans. This results in lower interest rates on their sovereign debt. Egypt’s economy is quite stable for now, after years of political unrest that affected the economy.

GNI per capita, PPP (current international $) in Egypt was reported at 18230 USD in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Egypt - GNI per capita, PPP (current international $) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Egypt EG: GDP: USD: Adjusted Net National Income per Capita data was reported at 3,126.720 USD in 2016. This records a decrease from the previous number of 3,183.981 USD for 2015. Egypt EG: GDP: USD: Adjusted Net National Income per Capita data is updated yearly, averaging 647.218 USD from Jun 1970 (Median) to 2016, with 47 observations. The data reached an all-time high of 3,183.981 USD in 2015 and a record low of 209.134 USD in 1970. Egypt EG: GDP: USD: Adjusted Net National Income per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Egypt – Table EG.World Bank: Gross Domestic Product: Nominal. Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion.; ; World Bank staff estimates based on sources and methods in World Bank's 'The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium' (2011).; Weighted Average;

Egypt EG: GDP: 2010 Price: USD: Adjusted Net National Income data was reported at 243.594 USD bn in 2016. This records an increase from the previous number of 232.322 USD bn for 2015. Egypt EG: GDP: 2010 Price: USD: Adjusted Net National Income data is updated yearly, averaging 88.744 USD bn from Jun 1970 (Median) to 2016, with 47 observations. The data reached an all-time high of 243.594 USD bn in 2016 and a record low of 28.242 USD bn in 1970. Egypt EG: GDP: 2010 Price: USD: Adjusted Net National Income data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Egypt – Table EG.World Bank.WDI: Gross Domestic Product: Real. Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion.; ; World Bank staff estimates based on sources and methods described in 'The Changing Wealth of Nations 2018: Building a Sustainable Future' (Lange et al 2018).; Gap-filled total;

Retirement Notice: This item is in mature support as of November 2025 and will be retired in December 2026. A replacement item has not been identified at this time. Esri recommends updating your maps and apps to phase out use of this item. This map shows the purchasing power per capita in Egypt in 2023, in a multiscale map (Country and Province). Nationally, the purchasing power per capita is 64,013 Egyptian pound. Purchasing Power describes the disposable income (income without taxes and social security contributions, including received transfer payments) of a certain area's population. The figures are in Egyptian pound (EGP) per capita.The pop-up is configured to show the following information at each geography level:Purchasing power per capitaPurchasing power per capita indexThe Purchasing Power Index compares the demand for a specific purchasing category in an area, with the national demand for that product or service. The index values at the national level are 100, representing average demand for the country. A value of more than 100 represents higher demand than the national average, and a value of less than 100 represents lower demand than the national average. For example, an index of 120 implies that demand in the area is 20 percent higher than the national average; an index of 80 implies that demand is 20 percent lower than the national average.The source of this data is Michael Bauer Research. The vintage of the data is 2023. This item was last updated in October, 2023 and is updated every 12-18 months as new annual figures are offered.Additional Esri Resources:Esri DemographicsThis item is for visualization purposes only and cannot be exported or used in analysis.We would love to hear from you. If you have any feedback regarding this item or Esri Demographics, please let us know.Permitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

As of April 2025, South Africa's GDP was estimated at over 410 billion U.S. dollars, the highest in Africa. Egypt followed, with a GDP worth around 347 billion U.S. dollars, and ranked as the second-highest on the continent. Algeria ranked third, with nearly 269 billion U.S. dollars. These African economies are among some of the fastest-growing economies worldwide. Dependency on oil For some African countries, the oil industry represents an enormous source of income. In Nigeria, oil generates over five percent of the country’s GDP in the third quarter of 2023. However, economies such as the Libyan, Algerian, or Angolan are even much more dependent on the oil sector. In Libya, for instance, oil rents account for over 40 percent of the GDP. Indeed, Libya is one of the economies most dependent on oil worldwide. Similarly, oil represents for some of Africa’s largest economies a substantial source of export value. The giants do not make the ranking Most of Africa’s largest economies do not appear in the leading ten African countries for GDP per capita. The GDP per capita is calculated by dividing a country’s GDP by its population. Therefore, a populated country with a low total GDP will have a low GDP per capita, while a small rich nation has a high GDP per capita. For instance, South Africa has Africa’s highest GDP, but also counts the sixth-largest population, so wealth has to be divided into its big population. The GDP per capita also indicates how a country’s wealth reaches each of its citizens. In Africa, Seychelles has the greatest GDP per capita.

Egypt EG: GDP: 2010 Price: USD: Adjusted Net National Income per Capita data was reported at 2,545.689 USD in 2016. This records an increase from the previous number of 2,477.356 USD for 2015. Egypt EG: GDP: 2010 Price: USD: Adjusted Net National Income per Capita data is updated yearly, averaging 1,470.760 USD from Jun 1970 (Median) to 2016, with 47 observations. The data reached an all-time high of 2,545.689 USD in 2016 and a record low of 802.174 USD in 1971. Egypt EG: GDP: 2010 Price: USD: Adjusted Net National Income per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Egypt – Table EG.World Bank.WDI: Gross Domestic Product: Real. Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion.; ; World Bank staff estimates based on sources and methods in World Bank's 'The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium' (2011).; Weighted average;

Abstract

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 50% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE CENTRAL AGENCY FOR PUBLIC MOBILIZATION AND STATISTICS (CAPMAS)

The Household Income, Expenditure and Consumption Survey (HIECS) is of great importance among other household surveys conducted by statistical agencies in various countries around the world. This survey provides a large amount of data to rely on in measuring the living standards of households and individuals, as well as establishing databases that serve in measuring poverty, designing social assistance programs, and providing necessary weights to compile consumer price indices, considered to be an important indicator to assess inflation.

The First Survey that covered all the country governorates was carried out in 1958/1959 followed by a long series of similar surveys . The current survey, HIECS 2012/2013, is the eleventh in this long series.

Starting 2008/2009, Household Income, Expenditure and Consumption Surveys were conducted each two years instead of five years. this would enable better tracking of the rapid changes in the level of the living standards of the Egyptian households.

CAPMAS started in 2010/2011 to follow a panel sample of around 40% of the total household sample size. The current survey is the second one to follow a panel sample. This procedure will provide the necessary data to extract accurate indicators on the status of the society. The CAPMAS also is pleased to disseminate the results of this survey to policy makers, researchers and scholarly to help in policy making and conducting development related researches and studies

The survey main objectives are:

• To identify expenditure levels and patterns of population as well as socio- economic and demographic differentials.

• To measure average household and per-capita expenditure for various expenditure items along with socio-economic correlates.

• To Measure the change in living standards and expenditure patterns and behavior for the individuals and households in the panel sample, previously surveyed in 2008/2009, for the first time during 12 months representing the survey period.

• To define percentage distribution of expenditure for various items used in compiling consumer price indices which is considered important indicator for measuring inflation.

• To estimate the quantities, values of commodities and services consumed by households during the survey period to determine the levels of consumption and estimate the current demand which is important to predict future demands.

• To define average household and per-capita income from different sources.

• To provide data necessary to measure standard of living for households and individuals. Poverty analysis and setting up a basis for social welfare assistance are highly dependent on the results of this survey.

• To provide essential data to measure elasticity which reflects the percentage change in expenditure for various commodity and service groups against the percentage change in total expenditure for the purpose of predicting the levels of expenditure and consumption for different commodity and service items in urban and rural areas.

• To provide data essential for comparing change in expenditure against change in income to measure income elasticity of expenditure.

• To study the relationships between demographic, geographical, housing characteristics of households and their income.

• To provide data necessary for national accounts especially in compiling inputs and outputs tables.

• To identify consumers behavior changes among socio-economic groups in urban and rural areas.

• To identify per capita food consumption and its main components of calories, proteins and fats according to its nutrition components and the levels of expenditure in both urban and rural areas.

• To identify the value of expenditure for food according to its sources, either from household production or not, in addition to household expenditure for non-food commodities and services.

• To identify distribution of households according to the possession of some appliances and equipments such as (cars, satellites, mobiles ,…etc) in urban and rural areas that enables measuring household wealth index.

• To identify the percentage distribution of income earners according to some background variables such as housing conditions, size of household and characteristics of head of household.

• To provide a time series of the most important data related to dominant standard of living from economic and social perspective. This will enable conducting comparisons based on the results of these time series. In addition to, the possibility of performing geographical comparisons.

Compared to previous surveys, the current survey experienced certain peculiarities, among which :

1- The total sample of the current survey (24.9 thousand households) is divided into two sections:

a- A new sample of 16.1 thousand households. This sample was used to study the geographic differences between urban governorates, urban and rural areas, and frontier governorates as well as other discrepancies related to households characteristics and household size, head of the household's education status, ....... etc.

b- A panel sample of 2008/2009 survey data of around 8.8 thousand households was selected to accurately study the changes that may have occurred in the households' living standards over the period between the two surveys and over time in the future since CAPMAS will continue to collect panel data for HIECS in the coming years.

2- Some additional questions that showed to be important based on previous surveys results, were added to the survey questionnaire, such as:

a- The extent of health services provided to monitor the level of services available in the Egyptian society. By collecting information on the in-kind transfers, the household received during the year; in order to monitor the assistance the household received from different sources government, association,..etc.

b- Identifying the main outlet of fabrics, clothes and footwear to determine the level of living standards of the household.

3- Quality control procedures especially for fieldwork are increased, to ensure data accuracy and avoid any errors in suitable time, as well as taking all the necessary measures to guarantee that mistakes are not repeated, with the application of the principle of reward and punishment.

The raw survey data provided by the Statistical Agency were cleaned and harmonized by the Economic Research Forum, in the context of a major project that started in 2009. During which extensive efforts have been exerted to acquire, clean, harmonize, preserve and disseminate micro data of existing household surveys in several Arab countries.

Geographic coverage

Covering a sample of urban and rural areas in all the governorates.

Analysis unit

1- Household/family. 2- Individual/person.

Universe

The survey covered a national sample of households and all individuals permanently residing in surveyed households.

Kind of data

Sample survey data [ssd]

Sampling procedure

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 50% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE CENTRAL AGENCY FOR PUBLIC MOBILIZATION AND STATISTICS (CAPMAS)

The sample of HIECS 2012/2013 is a self-weighted two-stage stratified cluster sample, of around 24.9 households. The main elements of the sampling design are described in the following.

1- Sample Size The sample has been proportionally distributed on the governorate level between urban and rural areas, in order to make the sample representative even for small governorates. Thus, a sample of about 24863 households has been considered, and was distributed between urban and rural with the percentages of 45.4 % and 54.6, respectively. This sample is divided into two parts: a- A new sample of 16094 households selected from main enumeration areas. b- A panel sample of 8769 households (selected from HIECS 2010/2011 and the preceding survey in 2008/2009).

2- Cluster size The cluster size in the previous survey has been decreased compared to older surveys since large cluster sizes previously used were found to be too large to yield accepted design effect estimates (DEFT). As a result, it has been decided to use a cluster size of only 8 households (In HIECS 2011/2012 a cluster size of 16 households was used). While the cluster size for the panel sample was 4 households.

3- Core Sample The core sample is the master sample of any household sample required to be pulled for the purpose of studying the properties of individuals and families. It is a large sample and distributed on urban and rural areas of all governorates. It is a representative sample for the individual characteristics of the Egyptian society. This sample was implemented in January 2012 and its size reached more than 1 million household (1004800 household) selected from 5024 enumeration areas distributed on all governorates (urban/rural) proportionally with the sample size (the enumeration area size is around 200 households). The core sample is the sampling frame from which the samples for the surveys conducted by CAPMAS are pulled, such as the Labor Force Surveys, Income, Expenditure And Consumption Survey, Household Urban Migration Survey, ...etc, in addition to other samples that may be required for outsources.

New Households Sample 1000 sample areas were selected across all governorates (urban/rural) using a proportional technique with the sample size. The number

GDP of Egypt slipped by 1.73% from 395,926,075,163 US dollars in 2023 to 389,059,911,004 US dollars in 2024. Since the 12.26% surge in 2022, GDP sank by 18.39% in 2024. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.

Abstract

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 50% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE CENTRAL AGENCY FOR PUBLIC MOBILIZATION AND STATISTICS (CAPMAS)

The Household Income, Expenditure and Consumption Survey (HIECS) is of great importance among other household surveys conducted by statistical agencies in various countries around the world. This survey provides a large amount of data to rely on in measuring the living standards of households and individuals, as well as establishing databases that serve in measuring poverty, designing social assistance programs, and providing necessary weights to compile consumer price indices, considered to be an important indicator to assess inflation.

The First Survey that covered all the country governorates was carried out in 1958/1959 followed by a long series of similar surveys. The current survey, HIECS 2015, is the twelfth in this long series. Starting 2008/2009, Household Income, Expenditure and Consumption Surveys were conducted each two years instead of five years. this would enable better tracking of the rapid changes in the level of the living standards of the Egyptian households.

CAPMAS started in 2010/2011 to follow a panel sample of around 40% of the total household sample size. The current survey is the second one to follow a panel sample. This procedure will provide the necessary data to extract accurate indicators on the status of the society. The CAPMAS also is pleased to disseminate the results of this survey to policy makers, researchers and scholarly to help in policy making and conducting development related researches and studies

The survey main objectives are:

• To identify expenditure levels and patterns of population as well as socio- economic and demographic differentials.

• To measure average household and per-capita expenditure for various expenditure items along with socio-economic correlates.

• To Measure the change in living standards and expenditure patterns and behavior for the individuals and households in the panel sample, previously surveyed in 2008/2009, for the first time during 12 months representing the survey period.

• To define percentage distribution of expenditure for various items used in compiling consumer price indices which is considered important indicator for measuring inflation.

• To estimate the quantities, values of commodities and services consumed by households during the survey period to determine the levels of consumption and estimate the current demand which is important to predict future demands.

• To define average household and per-capita income from different sources.

• To provide data necessary to measure standard of living for households and individuals. Poverty analysis and setting up a basis for social welfare assistance are highly dependent on the results of this survey.

• To provide essential data to measure elasticity which reflects the percentage change in expenditure for various commodity and service groups against the percentage change in total expenditure for the purpose of predicting the levels of expenditure and consumption for different commodity and service items in urban and rural areas.

• To provide data essential for comparing change in expenditure against change in income to measure income elasticity of expenditure.

• To study the relationships between demographic, geographical, housing characteristics of households and their income.

• To provide data necessary for national accounts especially in compiling inputs and outputs tables.

• To identify consumers behavior changes among socio-economic groups in urban and rural areas.

• To identify per capita food consumption and its main components of calories, proteins and fats according to its nutrition components and the levels of expenditure in both urban and rural areas.

• To identify the value of expenditure for food according to its sources, either from household production or not, in addition to household expenditure for non-food commodities and services.

• To identify distribution of households according to the possession of some appliances and equipments such as (cars, satellites, mobiles ,…etc) in urban and rural areas that enables measuring household wealth index.

• To identify the percentage distribution of income earners according to some background variables such as housing conditions, size of household and characteristics of head of household.

• To provide a time series of the most important data related to dominant standard of living from economic and social perspective. This will enable conducting comparisons based on the results of these time series. In addition to, the possibility of performing geographical comparisons.

The raw survey data provided by the Statistical Agency were cleaned and harmonized by the Economic Research Forum, in the context of a major project that started in 2009. During which extensive efforts have been exerted to acquire, clean, harmonize, preserve and disseminate micro data of existing household surveys in several Arab countries.

Geographic coverage

Covering a sample of urban and rural areas in all the governorates.

Analysis unit

1- Household/family. 2- Individual/person.

Universe

The survey covered a national sample of households and all individuals permanently residing in surveyed households.

Kind of data

Sample survey data [ssd]

Sampling procedure

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 50% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE CENTRAL AGENCY FOR PUBLIC MOBILIZATION AND STATISTICS (CAPMAS)

The sample of HIECS 2015 is a self-weighted two-stage stratified cluster sample. The main elements of the sampling design are described in the following.

1- Sample Size The sample size is around 25 thousand households. It was distributed between urban and rural with the percentages of 45% and 55%, respectively.

2- Cluster size The cluster size is 10 households in most governorates. It reached 20 households in Port-Said, Suez, Ismailiya, Damietta, Aswan and Frontier governorates, since the sample size in those governorates is smaller compared to others.

3- Sample allocation in different governorates 45% of the survey sample was allocated to urban areas (11260 households) and the other 55% was allocated to rural areas (13740 households). The sample was distributed on urban/rural areas in different governorates proportionally with the household size A sample size of a minimum of 1000 households was allocated to each governorate to ensure accuracy of poverty indicators. Therefore, the sample size was increased in Port-Said, Suez, Ismailiya, kafr el-Sheikh, Damietta, Bani Suef, Fayoum, Qena, Luxor and Aswan, by compensation from other governorates where the sample size exceeds a 1000 households. All Frontier governorates were considered as one governorate.

4- Core Sample The core sample is the master sample of any household sample required to be pulled for the purpose of studying the properties of individuals and families. It is a large sample and distributed on urban and rural areas of all governorates. It is a representative sample for the individual characteristics of the Egyptian society. This sample was implemented in January 2010 and its size reached more than 1 million household selected from 5024 enumeration areas distributed on all governorates (urban/rural) proportionally with the sample size (the enumeration area size is around 200 households). The core sample is the sampling frame from which the samples for the surveys conducted by CAPMAS are pulled, such as the Labor Force Surveys, Income, Expenditure And Consumption Survey, Household Urban Migration Survey, ...etc, in addition to other samples that may be required for outsources.

A more detailed description of the different sampling stages and allocation of sample across governorates is provided in the Methodology document available among external resources in Arabic.

Mode of data collection

Face-to-face [f2f]

Research instrument

Three different questionnaires have been designed as following:

1- Expenditure and Consumption Questionnaire. 2- Assisting questionnaire. 3- Income Questionnaire.

In designing the questionnaires of expenditure, consumption and income, we were taking into our consideration the following: - Using the recent concepts and definitions of International Labor Organization approved in the International Convention of Labor Statisticians held in Geneva, 2003. - Using the recent Classification of Individual Consumption According to Purpose (COICOP). - Using more than one approach of expenditure measurement to serve many purposes of the survey.

A brief description of each questionnaire is given next:

----> 1- Expenditure and Consumption Questionnaire This questionnaire comprises 14 tables in addition to identification and geographic data of household on the cover page. The questionnaire is divided into two main sections.

Section one: Household schedule and other information, it includes: - Demographic characteristics and basic data for all household individuals consisting of 25 questions for every person. - Members of household who are currently working abroad. - The household ration card. - The main outlets that provide food and beverage. - Domestic and foreign tourism. - The housing conditions including 16 questions. - Household ownership of means of transportation, communication and domestic appliances. - Date of purchase, status at purchase, purchase value and

Abstract

The Household Income, Expenditure and Consumption Survey (HIECS) provides a large amount of data to rely on in measuring the living standards of households and individuals, as well as establishing databases that serve in measuring poverty, designing social assistance programs, and providing necessary weights to compile consumer price indices, considered to be an important indicator to assess inflation.

The survey's main objectives are: - To identify expenditure levels and patterns of population as well as socio- economic and demographic differentials. - To measure average household and per-capita expenditure for various expenditure items along with socio-economic correlates. - To Measure the change in living standards and expenditure patterns and behavior for the individuals and households in the panel sample, previously surveyed in 2008/2009, for the first time during 12 months representing the survey period. - To define percentage distribution of expenditure for various items used in compiling consumer price indices which is considered important indicator for measuring inflation. - To estimate the quantities, values of commodities and services consumed by households during the survey period to determine the levels of consumption and estimate the current demand which is important to predict future demands. - To define average household and per-capita income from different sources. - To provide data necessary to measure standard of living for households and individuals. Poverty analysis and setting up a basis for social welfare assistance are highly dependent on the results of this survey. - To provide essential data to measure elasticity which reflects the percentage change in expenditure for various commodity and service groups against the percentage change in total expenditure for the purpose of predicting the levels of expenditure and consumption for different commodity and service items in urban and rural areas. - To provide data essential for comparing change in expenditure against change in income to measure income elasticity of expenditure. - To study the relationships between demographic, geographical, housing characteristics of households and their income. - To provide data necessary for national accounts especially in compiling inputs and outputs tables. - To identify consumers behavior changes among socio-economic groups in urban and rural areas. - To identify per capita food consumption and its main components of calories, proteins and fats according to its nutrition components and the levels of expenditure in both urban and rural areas. - To identify the value of expenditure for food according to its sources, either from household production or not, in addition to household expenditure for non-food commodities and services. - To identify distribution of households according to the possession of some appliances and equipments such as (cars, satellites, mobiles ,…etc) in urban and rural areas that enables measuring household wealth index. - To identify the percentage distribution of income earners according to some background variables such as housing conditions, size of household and characteristics of head of household.

Geographic coverage

Covering a sample of urban and rural areas in all the governorates.

Analysis unit

• Household
• Individual

Universe

The survey covered a national sample of households and all individuals permanently residing in surveyed households.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample of HIECS 2010/2011 is a self-weighted two-stage stratified cluster sample of around 26500 households. The main elements of the sampling design are described below.

• Sample Size : It was deemed important to collect a smaller sample size (around 26.5 thousand households) compared to previous rounds due to the convergence in the time period over which the survey is conducted to be every two years instead of five years because of its importance. The sample was proportionally distributed on the governorate level between urban and rural areas, in order to make the sample representative even for small governorates.

• Cluster size : The cluster size was decreased compared to older surveys since large cluster sizes previously used were found to be too large to yield accepted design effect estimates (DEFT). As a result, a cluster size of only 16 households was used (that was increased to 18 households in urban governorates and Giza, in addition to urban areas in Helwan and 6th of October, to account for anticipated non-response in those governorates: in view of past experience indicating that non-response may almost be nil in rural governorates). While the cluster size for the panel sample was 4 households.

• Core Sample: The master sample of any household sample required to be pulled for the purpose of studying the properties of individuals and families. It is a large sample(1004800 household) that is distributed across urban and rural areas of all governorates.

A more detailed description of the different sampling stages and allocation of sample across governorates is provided in the Methodology document that is provided as an external resources in both Arabic and English.

Mode of data collection

Face-to-face [f2f]

Research instrument

Three different questionnaires were used: 1- Expenditure and Consumption Questionnaire: This questionnaire comprises 14 tables in addition to identification and geographic data of household. 2- Diary Questionnaire (Assisting questionnaire): This questionnaire was prepared to help households record - on a daily basis- the quantity and value of food and beverages consumed during the reference period (15 days). 3- Income Questionnaire: This questionnaire consists of several tables; each designated to a specific income source.

Cleaning operations

The Statistical Package for Social Science (SPSS) was used to clean and harmonize the datasets.

Response rate

For the total sample, the response rate was 93.0% (91.2% in urban areas and 95.6% in rural areas).

Sampling error estimates

The sampling error of major survey estimates has been derived using the Ultimate Cluster Method as applied in the CENVAR Module of the Integrated Microcomputer Processing System (IMPS) Package. In addition to the estimate of sampling error, the output includes estimates of coefficient of variation, design effect (DEFF) and 95% confidence intervals.

Data appraisal

Quality Control Procedures included: 1) Procedures implemented by the survey division a - Applying the recent international recommendations of different concepts and definitions of income and expenditure considering maintaining the consistency with the previous surveys in order to compare and study the changes in pertinent indicators. b - Evaluating the quality of data in all different Implementation stages to avoid or minimize errors to the lowest extent possible through:

Implementing field editing after finishing data collection for households in governorates to avoid any errors in suitable time. Setting up a program for the Survey Technical Committee Members and survey staff for visiting fieldwork in all governorates (each 15 days) to solve any problem in the proper time. For the purpose of quality assurance, tables were generated for each survey round where internal consistency checks were performed to study the plausibility of consistency of data collected.

2) Procedures implemented by the quality control general division a - It was put into consideration during the survey implementation to assign the quality control general division a core role in controlling the quality of the fieldwork to ensure data accuracy and avoid any errors in suitable time, as well as taking all the necessary measures to guarantee that mistakes are not repeated, with the application of the principle of reward and punishment, and announce the results to all those working in the survey. b - 24 quality control rounds (2 rounds weekly) covering all governorates were implemented. A complete report on the results of each round was produced and distributed to all workers in the survey.

The quality control procedures covered 73.2% of total kism/district in urban areas, 48.3% of rural districts, and 48% of total EAs of the new sample, where the percentage of inconsistencies did not exceed 2%. As for the panel sample, the quality control procedures covered 50.3% of total kism/district in urban areas, 16.9% of rural districts, and 14.2% of total EAs of the new sample, where the percentage of inconsistencies did not exceed 2.1%.

This map shows the purchasing power per capita in Egypt in 2023, in a multiscale map (Country and Province). Nationally, the purchasing power per capita is 64,013 Egyptian pound. Purchasing Power describes the disposable income (income without taxes and social security contributions, including received transfer payments) of a certain area's population. The figures are in Egyptian pound (EGP) per capita.The pop-up is configured to show the following information at each geography level:Purchasing power per capitaPurchasing power per capita indexThe Purchasing Power Index compares the demand for a specific purchasing category in an area, with the national demand for that product or service. The index values at the national level are 100, representing average demand for the country. A value of more than 100 represents higher demand than the national average, and a value of less than 100 represents lower demand than the national average. For example, an index of 120 implies that demand in the area is 20 percent higher than the national average; an index of 80 implies that demand is 20 percent lower than the national average.The source of this data is Michael Bauer Research. The vintage of the data is 2023. This item was last updated in October, 2023 and is updated every 12-18 months as new annual figures are offered.Additional Esri Resources:Esri DemographicsThis item is for visualization purposes only and cannot be exported or used in analysis.We would love to hear from you. If you have any feedback regarding this item or Esri Demographics, please let us know.Permitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

Abstract

The Egypt Labor Market Panel Survey 2006 (ELMPS06) is the first full-fledged panel study of its scale in Egypt. This panel follows a nationally representative sample of 4,816 households visited in 1998, households that split from that sample, plus a refresher sample of 2,500 households. The total number of households reached in 2006 is 8,349. The ELMPS06 provides estimates of employment, unemployment and underemployment. The survey also collects information on job characteristics, mobility, and earnings. Collected data covers issues of household socio-economic characteristics, demographic characteristics, family enterprises and women’s status and work. A separate community level questionnaire has been administered to collect data on access to services and work opportunities in sampled localities. This report provides information on the different methodological issues related to the survey including sampling, questionnaire design, training of field staff, data collection, office review, and data entry.

Geographic coverage

The sample was designed to provide estimates of the indicators at the national level, for urban and rural areas, and for all regions.

Analysis unit

1- Households. 2- Individuals.

Universe

The survey covered a national sample of households and all individuals permanently residing in surveyed households.

Kind of data

Sample survey data [ssd]

Sampling procedure

The ELMPS06 sample consists of three types of households: 1. Households visited in 1998 2. Split households 3. A refresher sample of 2,500 households In this section we describe in details the sampling techniques for both the 1998 and 2006 samples. We also describe the attrition to the 1998 sample due to loss of some household identification data, which were kept by CAPMAS.

The Selection Process of the 2006 New Sample This sample was selected from the CAPMAS 2005 Master Sample. This is a nationally representative two-stage self-weighted (to the extent possible) sample. Each governorate is allocated a number of PSUs in the master sample that is proportionate to its size and its urban/rural distribution.

The master sample was prepared through a two-stage process. First, shiekha's and villages are selected by probability proportionate-to-size method from two different sampling frames (one urban and another rural). In the second stage, these selected primary sample units are divided into secondary sampling units of 700 households each. A total of 1200 sampling units are then randomly selected to constitute the final master sample of CAPMAS. The ELMPS06 2006 new sample was proportionately selected from the CAPMAS master sample. Primary sampling units were then randomly selected from the CAPMAS master sample. Then within each PSU (containing 700 households in the master sample) we randomly selected 25 households. The 5,000 households that constitute the initial survey sample in 1998 were selected from a CAPMAS master sample prepared in 1995. The master sample consists of 750,000 households in 500 primary sampling units (PSUs) each consisting of 1,500 households. The CAPMAS master sample was selected through a two-stage process. The country is first divided into two strata: urban and rural. Each stratum is in turn divided into sub-strata representing each governorate. All the villages (in the case of rural strata) or shiyakhas (urban quarter, in the case of urban strata) in each substratum were listed and assigned a weight based on their population. The first stage consisted of choosing the villages and shiyakhas that would be represented in the sample based on the principal of probability proportional to size. This meant that a shiyakha or a village is possibly selected more than once if its size warrants that. The selected shiyakhas and villages are then divided into PSUs of approximately 1500 housing units each; then one or more PSUs are selected from each shiyakha or village. The selected PSUs were then re-listed in 1995 to enumerate all the households selected. As shown in Table 6, the master sample contains 306 urban PSUs and 194 rural PSUs.

Mode of data collection

Face-to-face [f2f]

Research instrument

Questionnaire design was finalized by the ERF team prior to the conclusion of the agreement between CAPMAS and ERF. The household-level research instruments comprise of three interrelated questionnaires for each household. The household questionnaire collects data on the different demographic characteristics of household members, household assets and access to services. This questionnaire also includes a module that tracks individuals who were part of the 1998 sample. The questionnaire allows space for 20 individuals as members of the household and for 10 splits. The individual questionnaire includes modules on the education and work characteristics for individuals six years and up. The printed version allows space for only five individuals, but more than one individual questionnaire can be used for a household depending on its size. The third questionnaire in the household-level research instrument is the “Migration, Family Enterprises and Non-wage Income” questionnaire, which includes the modules on migration, remittances, non-work-related income sources, and non-agricultural household enterprises.

----> Additions and changes to the 1998 Questionnaire

New sections were added to the 1998 questionnaires and a number of questions were deleted because they did not produce useful results after the analysis. The following are the major changes to the 1998 questionnaire: 1. The panel design mandated a number of changes, including the addition of a new section, Section 0.2, which gathered information on the basic characteristics of members who lived in household in1998 but no longer live in household in 2006 and their new addresses to track them. The cover page also included a question regarding the type of the household (whether it is originally visited in 1998, is a split household, or from the new sample). Section 0.1, the household roster, also included an additional question (0105), which inquires about the individual’s person number (pn) in the 1998 data set. Data collectors were able to get this information from the data sheets that were printed for each household containing basic demographic characteristics and a summary of her/his work and education characteristics. 2. Questions about land ownership and cultivation were added in section 0.3. Although they do not quite fit under housing and services, this was the best place to include them. Instructions during training were to write zero if no land was owned or rented by household. 3. The section on durable goods, section 0.4, now includes questions on whether the item was bought at the time of marriage and whether an item is bought to be used by a household member after she/he marries. 4. A short section on siblings (section 1.3) was added, which refers to total number of siblings, and whether or not they reside in the same household. 5. The section on education is expanded significantly. It now includes questions about the characteristics of secondary, preparatory, and primary schools, where relevant. Questions about repetitions and interruptions of schooling are included in order to gain better understanding of the number of years of schooling as opposed to grade level achieved and age of exit/completion. The section also allows one to assign a unique code for each school attended by the individual. These unique codes were received from the Ministry of Education and allow for analysis on school characteristics based on further data from the Ministry. 6. The migration section was moved earlier in the questionnaire so that it applies to all individuals whether they worked or not. In 1998, this section only applied to those who had previously worked. The section now applies to all those aged 15 and above. It also includes a new question about place of birth. 7. In the sections on work characteristics, we no longer have a reference week and a reference three months. We used instead the past seven days (counting back from day of first interview with individual) and the past three months. 8. In the unemployment section (Section 4.2), we added questions about the use of a landline or cell phones in job search activities. We also separated the question on registering with a government agency from the job search question. Now all the activities listed under job search are limited to the past three months reference period. 9. We separated the questions on subsistence and domestic work in a new section. These questions now apply to all children aged 6-17 and all women aged18-64, irrespective of employment status. The questions on domestic work are now much more detailed than before and ask about time spent on various domestic chores during the past 7 days. If the same amount of time is spent everyday, then interviewers were instructed to multiply the daily times by seven. However, this is designed to allow for variations in schedules every day. One of the reasons this section now applies to the past week rather than a reference week was that that it might be difficult to get an accurate estimate due to recall problems. Only the last question of the section allows for the activity to be done concurrently with other activities (child care). Otherwise, interviewers were instructed that they are enquiring about the time spent exclusively on the activity in question. 10. Questions about the “first job” were added into the section detecting employment in the forgoing three months. As in the job mobility section, to qualify as a job, the individual must have spent at least 6 months at the job. Thus, a job

Abstract

The Household Income, Expenditure and Consumption Survey (HIECS) is of great importance among other household surveys conducted by statistical agencies in various countries around the world. This survey provides a large amount of data to rely on in measuring the living standards of households and individuals, as well as establishing databases that serve in measuring poverty, designing social assistance programs, and providing necessary weights to compile consumer price indices, considered to be an important indicator to assess inflation. The HIECS 2008/2009 is the tenth Household Income, Expenditure and Consumption Survey that was carried out in 2008/2009, among a long series of similar surveys that started back in 1955.

Survey Objectives: 1- To identify expenditure levels and patterns of population as well as socio- economic and demographic differentials. 2- To estimate the quantities and values of commodities and services consumed by households during the survey period to determine the levels of consumption and estimate the current demand which is an important input for national planning. Current and past demand estimates are utilized to predict future demands 3- To measure mean household and per-capita expenditure for various expenditure items along with socio-economic correlates. 4- To define percentage distribution of expenditure for various items used in compiling consumer price indices which is considered important indicator for measuring inflation 5- To define mean household and per-capita income from different sources. 6- To provide data necessary to measure standard of living for households and individuals. Poverty analysis and setting up a basis for social welfare assistance are highly dependant on the results of this survey. 7- To provide essential data to measure elasticity which reflects the percentage change in expenditure for various commodity and service groups against. the percentage change in total expenditure for the purpose of predicting the levels of expenditure and consumption for different commodity and service items in urban and rural areas. 8- To provide data essential for comparing change in expenditure against change in income to measure income elasticity of expenditure. 9- To study the relationships between demographic, geographical and housing characteristics of households and their income and expenditure for commodities and services. 10- To provide data necessary for national accounts especially in compiling inputs and outputs tables. 11- To identify consumers behavior changes among socio-economic groups in urban and rural areas. 12- To identify per capita food consumption and its main components of calories, proteins and fats according to its sources and the levels of expenditure in both urban and rural areas. 13- To identify the value of expenditure for food according to sources, either from household production or not, in addition to household expenditure for non food commodities and services. 14- To identify distribution of households according to the possession of some appliances and equipments such as (cars, satellites, mobiles …) in urban and rural areas.

Geographic coverage

National

Analysis unit

• Househoolds
• Individuals

Universe

The survey covered a national sample of households and all individuals permanently residing in surveyed households.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample of HIECS, 2008-2009 is a two-stage stratified cluster sample, approximately self-weighted, of nearly 48000 households. The main elements of the sampling design are described in the following.

Sample Size It has been deemed important to retain the same sample size of the previous two HIECS rounds. Thus, a sample of about 48000 households has been considered. The justification of maintaining the sample size at this level is to have estimates with levels of precision similar to those of the previous two rounds: therefore trend analysis with the previous two surveys will not be distorted by substantial changes in sampling errors from round to another. In addition, this relatively large national sample implies proportional samples of reasonable sizes for smaller governorates. Nonetheless, over-sampling has been introduced to raise the sample size of small governorates to about 1000 households As a result, reasonably precise estimates could be extracted for those governorates. The over-sampling has resulted in a slight increase in the national sample to 48658 households.

Cluster size An important lesson learned from the previous two HIECS rounds is that the cluster size applied in both surveys is found to be too large to yield an accepted design effect estimates. The cluster size was 40 households in the 2004-2005 round, descending from 80 households in the 1999-2000 round. The estimates of the design effect (deft) for most survey measures of the latest round were extraordinary large. As a result, it has been decided to decrease the cluster size to only 19 households (20 households in urban governorates to account for anticipated non-response in those governorates: in view of past experience non-response is almost nil in rural governorates).

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

Three different questionnaires have been designed as following: 1- Expenditure and consumption questionnaire. 2- Diary questionnaire for expenditure and consumption. 3- Income questionnaire.

Cleaning operations

Office Editing: It is one of the main stages of the survey. It started as soon as the questionnaires were received from the field and accomplished by selected work groups. It includes: a- Editing of coverage and completeness b- Editing of consistency c- Arithmetic editing of quantities and values.

Data Coding: Specialized staff has coded the data of industry, occupation and geographical identification.

Data Processing and preparing final results It included machine data entry, data validation and tabulation and preparing final survey volumes

Harmonized Data: - The Statistical Package for Social Science (SPSS) is used to clean and harmonize the datasets. - The harmonization process starts with cleaning all raw data files received from the Statistical Office. - Cleaned data files are then all merged to produce one data file on the individual level containing all variables subject to harmonization. - A country-specific program is generated for each dataset to generate/compute/recode/rename/format/label harmonized variables. - A post-harmonization cleaning process is run on the data. - Harmonized data is saved on the household as well as the individual level, in SPSS and converted to STATA format.

Response rate

For the total sample, the response rate was 96.3% (93.95% in urban areas and 98.4% in rural areas). Response rates on the governorate level at each sampling stage are presented in the methodology document attached to the external resources in both Arabic and English.

Sampling error estimates

The sampling error of major survey estimates has been derived using the Ultimate Cluster Method as applied in the CENVAR Module of the Integrated Microcomputer Processing System (IMPS) Package. In addition to the estimate of sampling error, the output includes estimates of coefficient of variation, design effect (deff) and 95% confidence intervals.

Data appraisal

Quality Control Procedures:

The precision of survey results depends to a large extent on how the survey has been prepared for. As such, it was deemed crucial to exert much effort and to take necessary actions towards rigorous preparation for the present survey. The preparatory activities, extended over 3 months, included forming Technical Committee. The Committee has set up the general framework of survey implementation such as:

1- Applying the recent international recommendations of different concepts and definitions of income and expenditure considering maintaining the consistency with the previous surveys in order to compare and study the changes in pertinent indicators.

2- Evaluating the quality of data in all different Implementation stages to avoid or minimize errors to the lowest extent possible through: - Implementing field editing after finishing data collection for households in governorates to avoid any errors in suitable time. - Setting up a program for the Survey Technical Committee Members and survey staff for visiting field work in all governorates (each 15 days) to solve any problem in the proper time. - Re-interviewing a sample of households by Quality Control Department and examining the differences with the original responses. - For the purpose of quality assurance, tables were generated for each survey round where internal consistency checks were performed to study the plausibility of mean household expenditure on major expenditure commodity groups and its variability over major geographic regions.

Egypt EG: GDP: Growth: Gross Value Added: Agriculture data was reported at 3.241 % in 2017. This records an increase from the previous number of 3.097 % for 2016. Egypt EG: GDP: Growth: Gross Value Added: Agriculture data is updated yearly, averaging 3.071 % from Jun 1966 (Median) to 2017, with 52 observations. The data reached an all-time high of 8.073 % in 1972 and a record low of -2.786 % in 1977. Egypt EG: GDP: Growth: Gross Value Added: Agriculture data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Egypt – Table EG.World Bank: Gross Domestic Product: Annual Growth Rate. Annual growth rate for agricultural value added based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3 or 4.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

Egypt Gross Domestic Product (GDP): Resources data was reported at 5,740.500 EGP bn in 2018. This records an increase from the previous number of 4,487.000 EGP bn for 2017. Egypt Gross Domestic Product (GDP): Resources data is updated yearly, averaging 417.700 EGP bn from Jun 1982 (Median) to 2018, with 37 observations. The data reached an all-time high of 5,740.500 EGP bn in 2018 and a record low of 31.000 EGP bn in 1982. Egypt Gross Domestic Product (GDP): Resources data remains active status in CEIC and is reported by Ministry of Planning. The data is categorized under Global Database’s Egypt – Table EG.A002: GDP: by Expenditure: Current Price: Annual.