Graph and download economic data for Real Residential Property Prices for Emerging Markets (aggregate) (Q4TR771BIS) from Q4 2008 to Q2 2025 about emerging markets, residential, HPI, housing, real, price index, indexes, and price.

CPI Housing Utilities in Egypt increased to 160.50 points in June from 158.30 points in May of 2025. This dataset provides - Egypt Cpi Housing & Utilities- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Egypt Consumer Price Index (CPI): Housing, Water, Electricity, Gas and Fuel data was reported at 121.500 1999-2000=100 in Aug 2007. This stayed constant from the previous number of 121.500 1999-2000=100 for Jul 2007. Egypt Consumer Price Index (CPI): Housing, Water, Electricity, Gas and Fuel data is updated monthly, averaging 112.400 1999-2000=100 from Jul 2003 (Median) to Aug 2007, with 50 observations. The data reached an all-time high of 121.500 1999-2000=100 in Aug 2007 and a record low of 106.500 1999-2000=100 in Nov 2003. Egypt Consumer Price Index (CPI): Housing, Water, Electricity, Gas and Fuel data remains active status in CEIC and is reported by Central Agency for Public Mobilization and Statistics. The data is categorized under Global Database’s Egypt – Table EG.I009: Consumer Price Index: 1999-2000=100. Rebased from 1999-2000=100 to Jan2007=100 Replacement series ID: 129707608

Egypt Consumer Price Index (CPI): HF: Actual Rentals for Housing data was reported at 106.400 Jan2007=100 in Jul 2010. This stayed constant from the previous number of 106.400 Jan2007=100 for Jun 2010. Egypt Consumer Price Index (CPI): HF: Actual Rentals for Housing data is updated monthly, averaging 106.400 Jan2007=100 from Sep 2007 (Median) to Jul 2010, with 30 observations. The data reached an all-time high of 108.800 Jan2007=100 in Jan 2008 and a record low of 100.000 Jan2007=100 in Sep 2007. Egypt Consumer Price Index (CPI): HF: Actual Rentals for Housing data remains active status in CEIC and is reported by Central Agency for Public Mobilization and Statistics. The data is categorized under Global Database’s Egypt – Table EG.I006: Consumer Price Index: Jan2007=100.

The average price for a residential unit was the highest in Sheikh Zayed City, Egypt. In 2024, the average price per square meter for a residential unit was around ***** U.S. dollars. New Cairo and the 6th of October City followed, with an average price of around ***** U.S. dollars and ***** U.S. dollars, respectively.

Egypt Consumer Price Index (CPI): HF: Imputed Rentals for Housing data was reported at 108.100 Jan2010=100 in Oct 2018. This stayed constant from the previous number of 108.100 Jan2010=100 for Sep 2018. Egypt Consumer Price Index (CPI): HF: Imputed Rentals for Housing data is updated monthly, averaging 108.100 Jan2010=100 from Aug 2009 (Median) to Oct 2018, with 111 observations. The data reached an all-time high of 108.100 Jan2010=100 in Oct 2018 and a record low of 100.000 Jan2010=100 in Aug 2011. Egypt Consumer Price Index (CPI): HF: Imputed Rentals for Housing data remains active status in CEIC and is reported by Central Agency for Public Mobilization and Statistics. The data is categorized under Global Database’s Egypt – Table EG.I002: Consumer Price Index: Jan2010=100.

The Egypt Residential Real Estate Market Report is Segmented by Business Model (Sales, Rental), by Property Type (Apartments & Condominiums, Villas & Landed Houses), by Price Band (Affordable, Mid-Market, Luxury), by Mode of Sale (Primary, Secondary), and by Region (Cairo, Alexandria, Giza, Rest of Egypt). The Market Forecasts are Provided in Terms of Value (USD).

During the month of June 2025, demand for real estate continued to grow in the Egyptian market. Indeed, the Aqarmap Real Estate Index reached a value of ***** points, registering an increase in demand of **** percent compared to May of the same year.

Egypt Consumer Price Index (CPI): Urban: Housing, Water, Electricity, Gas and Other Fuels (HF) data was reported at 113.500 Jan2007=100 in Jul 2010. This stayed constant from the previous number of 113.500 Jan2007=100 for Jun 2010. Egypt Consumer Price Index (CPI): Urban: Housing, Water, Electricity, Gas and Other Fuels (HF) data is updated monthly, averaging 111.800 Jan2007=100 from Sep 2007 (Median) to Jul 2010, with 35 observations. The data reached an all-time high of 116.100 Jan2007=100 in Jan 2010 and a record low of 100.000 Jan2007=100 in Oct 2007. Egypt Consumer Price Index (CPI): Urban: Housing, Water, Electricity, Gas and Other Fuels (HF) data remains active status in CEIC and is reported by Central Agency for Public Mobilization and Statistics. The data is categorized under Global Database’s Egypt – Table EG.I006: Consumer Price Index: Jan2007=100.

The dataset you provided, "Egypt_Houses_Price.csv," appears to be a dataset related to housing prices in Egypt. It contains several columns such as Type, Price, Bedrooms, Bathrooms, Area, Furnished, Level, Compound, Payment_Option, Delivery_Date, Delivery_Term, and City.

Each row in the dataset represents a different property listing, with information such as the type of property (e.g., Apartment, Duplex, Penthouse), its price, the number of bedrooms and bathrooms, the area in square meters, whether it is furnished or not, the level or floor it is located on, the compound it belongs to (if applicable), the payment options available, the delivery date and term, and the city where the property is located.

This dataset can be useful for various analyses related to housing prices and property characteristics in Egypt. It can be used to explore trends and patterns in housing prices based on different factors such as property type, location, amenities, and payment options. Additionally, it can be used for predictive modeling to estimate or predict property prices based on the given features.

Egypt: Property rights index (0-100): The latest value from 2025 is 41 points, an increase from 40 points in 2024. In comparison, the world average is 53 points, based on data from 182 countries. Historically, the average for Egypt from 1995 to 2025 is 41 points. The minimum value, 20 points, was reached in 2014 while the maximum of 51 points was recorded in 2021.

Egypt Consumer Price Index (CPI): Urban: MoM: FH: Household Appliances data was reported at 0.100 % in Mar 2025. This records a decrease from the previous number of 0.200 % for Feb 2025. Egypt Consumer Price Index (CPI): Urban: MoM: FH: Household Appliances data is updated monthly, averaging 0.400 % from Jan 2017 (Median) to Mar 2025, with 99 observations. The data reached an all-time high of 9.200 % in Feb 2024 and a record low of -0.900 % in Apr 2019. Egypt Consumer Price Index (CPI): Urban: MoM: FH: Household Appliances data remains active status in CEIC and is reported by Central Agency for Public Mobilization and Statistics. The data is categorized under Global Database’s Egypt – Table EG.I003: Consumer Price Index: Headline: Month Over Month.

As of 2020, the property rights sub-score on the Economic Freedom Index for Egypt was ****. This was an increase of **** points from the preceding year. From 2000 to 2019, the Egyptian property right sub-score fluctuated between ** points, from 2000 to 2006, and ** points between 2014 and 2016. During the period under review, the Egyptian property rights value exceeded the African average from 2000 to 2013 and in 2020. In comparison to the world average, the Egyptian sub-score was higher between 2002 and 2006. According to the index, the score of Egypt was considered to be "repressed" as of 2020 with regards to property rights.

Egypt Consumer Price Index (CPI): Urban: YoY: FH: Tools and Equipment for House and Garden data was reported at 21.300 % in Mar 2025. This records a decrease from the previous number of 23.400 % for Feb 2025. Egypt Consumer Price Index (CPI): Urban: YoY: FH: Tools and Equipment for House and Garden data is updated monthly, averaging 6.200 % from Jan 2017 (Median) to Mar 2025, with 99 observations. The data reached an all-time high of 43.800 % in Oct 2023 and a record low of 0.000 % in Mar 2018. Egypt Consumer Price Index (CPI): Urban: YoY: FH: Tools and Equipment for House and Garden data remains active status in CEIC and is reported by Central Agency for Public Mobilization and Statistics. The data is categorized under Global Database’s Egypt – Table EG.I002: Consumer Price Index: Headline: Year Over Year.

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

Egypt Consumer Price Index (CPI): Furniture, Household Equipment & Routine Maintenance of the House (FH) data was reported at 126.300 Jan2007=100 in Jul 2010. This records an increase from the previous number of 126.200 Jan2007=100 for Jun 2010. Egypt Consumer Price Index (CPI): Furniture, Household Equipment & Routine Maintenance of the House (FH) data is updated monthly, averaging 124.700 Jan2007=100 from Sep 2007 (Median) to Jul 2010, with 30 observations. The data reached an all-time high of 126.400 Jan2007=100 in May 2010 and a record low of 103.000 Jan2007=100 in Nov 2007. Egypt Consumer Price Index (CPI): Furniture, Household Equipment & Routine Maintenance of the House (FH) data remains active status in CEIC and is reported by Central Agency for Public Mobilization and Statistics. The data is categorized under Global Database’s Egypt – Table EG.I006: Consumer Price Index: Jan2007=100.

The real total consumer spending on housing, water, fuels and electricity in Egypt was forecast to continuously increase between 2024 and 2029 by in total **** billion U.S. dollars (+***** percent). After the fifteenth consecutive increasing year, the real housing-related spending is estimated to reach ***** billion U.S. dollars and therefore a new peak in 2029. Notably, the real total consumer spending on housing, water, fuels and electricity of was continuously increasing over the past years.Consumer spending, in this case housing-related spending, refers to the domestic demand of private households and non-profit institutions serving households (NPISHs). Spending by corporations and the state is not included. The forecast has been adjusted for the expected impact of COVID-19.Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP). The shown data adheres broadly to group **. As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data has been converted from local currencies to US$ using the average constant exchange rate of the base year 2017. The timelines therefore do not incorporate currency effects. The data is shown in real terms which means that monetary data is valued at constant prices of a given base year (in this case: 2017). To attain constant prices the nominal forecast has been deflated with the projected consumer price index for the respective category.Find more key insights for the real total consumer spending on housing, water, fuels and electricity in countries like Algeria and Morocco.

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 HIECS 2010/2011 is the tenth Household Income, Expenditure and Consumption Survey that was carried out in 2010/2011, among a long series of similar surveys that started back in 1955.

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.

Compared to previous surveys, the current survey experienced certain peculiarities, among which : 1- The total sample of the current survey (26.5 thousand households) is divided into two sections: a- A new sample of 16.5 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 with 2008/2009 survey data of around 10 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- The number of enumeration area segments is reduced from 2526 in the previous survey to 1000 segments for the new sample, with decreasing the number of households selected from each segment to be (16/18) households instead of (19/20) in the previous survey. 3- Some additional questions that showed to be important based on previous surveys results, were added, such as: a- Collect the expenditure data on education and health on the person level and not on the household level to enable assessing the real level of average expenditure on those services based on the number of beneficiaries. b- The extent of health services provided to monitor the level of services available in the Egyptian society. c- Smoking patterns and behaviors (tobacco types- consumption level- quantities purchased and their values). d- Counting the number of household members younger than 18 years of age registered in ration cards. e- Add more details to social security pensions data (for adults, children, scholarships, families of civilian martyrs due to military actions) to match new systems of social security. f- Duration of usage and current value of durable goods aiming at estimating the service cost of personal consumption, as in the case of imputed rents. 4- 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 2010/2011 is a self-weighted two-stage stratified cluster sample, of around 26500 households. The main elements of the sampling design are described in the following.

1- Sample Size
It has been 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 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 26500 households has been considered, and was distributed between urban and rural with the percentages of 47.1 % and 52.9, respectively. This sample is divided into two parts: a- A new sample of 16.5 thousand households selected from main enumeration areas. b- A panel sample with 2008/2009 survey data of around 10 thousand households.

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 16 households (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.

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 2010 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

The real per capita consumer spending on housing, water, fuels and electricity in Egypt was forecast to continuously increase between 2022 and 2028 by in total ****** U.S. dollars. The real housing-related per capita spending is estimated to amount to ****** U.S. dollars in 2025 and ******* U.S. Dollars in 2028.Consumer spending, in this case housing-related per capita spending, refers to the domestic demand of private households and non-profit institutions serving households (NPISHs). Spending by corporations and the state is not included. The forecast has been adjusted for the expected impact of COVID-19.Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP). The shown data adheres broadly to group **. As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data has been converted from local currencies to US$ using the average constant exchange rate of the base year 2017. The timelines therefore do not incorporate currency effects. The data is shown in real terms which means that monetary data is valued at constant prices of a given base year (in this case: 2017). To attain constant prices the nominal forecast has been deflated with the projected consumer price index for the respective category.Find more key insights for the real per capita consumer spending on housing, water, fuels and electricity in countries like Tunisia and Algeria.

Egypt Consumer Price Index (CPI): Urban: MoM: FH: Household Textiles data was reported at 1.300 % in Mar 2025. This records a decrease from the previous number of 1.700 % for Feb 2025. Egypt Consumer Price Index (CPI): Urban: MoM: FH: Household Textiles data is updated monthly, averaging 0.400 % from Jan 2017 (Median) to Mar 2025, with 99 observations. The data reached an all-time high of 15.800 % in Nov 2017 and a record low of -1.600 % in Feb 2018. Egypt Consumer Price Index (CPI): Urban: MoM: FH: Household Textiles data remains active status in CEIC and is reported by Central Agency for Public Mobilization and Statistics. The data is categorized under Global Database’s Egypt – Table EG.I003: Consumer Price Index: Headline: Month Over Month.