In 2024, the consumer price index (CPI) was 315.61. Data represents U.S. city averages. The monthly inflation rate for the United States can be found here. United States urban Consumer Price Index (CPI) The U.S. Consumer Price Index is a measure of change in the price of consumer goods and services purchased by households. The CPI is defined by the United States Bureau of Labor Statistics as "a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services." To calculate the CPI, the Bureau of Labor Statistics considers the price of goods and services from various categories: housing, transportation, apparel, food & beverage, medical care, recreation, education and other/uncategorized. The CPI is a useful measure, as it indicates how the cost of urban living in the United States has changed over time, compared to a base period. CPI is also used to calculate inflation, or change in the purchasing power of money. According to the U.S. Bureau of Labor Statistics, the U.S. urban CPI has been rising steadily since 1992. As of 2023, the CPI was 304.7, up from 233 ten years earlier and up from 184 twenty years earlier. This indicates the extent to which, compared to a base period 1982-1984 = 100, the price of various goods and services has risen.

Austria AT: Consumer Price Index (CPI): Local Source Base Year: All Items data was reported at 120.267 2020=100 in 2023. This records an increase from the previous number of 111.550 2020=100 for 2022. Austria AT: Consumer Price Index (CPI): Local Source Base Year: All Items data is updated yearly, averaging 55.823 2020=100 from Dec 1958 (Median) to 2023, with 66 observations. The data reached an all-time high of 120.267 2020=100 in 2023 and a record low of 14.452 2020=100 in 1958. Austria AT: Consumer Price Index (CPI): Local Source Base Year: All Items data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Austria – Table AT.OECD.MEI: Consumer Price Index: COICOP 1999: OECD Member: Annual. The Austrian CPI measure price changes in a fixed basket of goods and services bought in Austria for the purpose of consumption by all Austrian households, foreign visitors and residents in institutional households. The prices used in the CPI calculation are the transaction prices actually paid by consumers including taxes less any general discounts, rebates or subsidies. Method of collection: Personal visits and mail questionnaire, paper collection forms, centrally collected prices by mail and telephone. Treatment of rentals for housing: Apartments rent abroad are included. Treatment of Owner-Occupied Housing: Regular payments for Owner occupied flats are included (payment approach), initial payments are excluded. House construction goods and services and major repairs are included. The purchase of a house and other real estate (land prices, housing agents) are not included. Treatment of missing prices: Prices are adjusted by the rate of change of the other price observations of the same product. If product offers are not available any more a new product offer is selected as replacement immediately after three months at latest. Treatment of quality changes: Quantity adjustment for food, Expert Judgment adjustment method e.g. for clothing, Option pricing method for durables and cars, Hedonic method for notebooks. Introduction of new products: New products are selected with respect to demand (turnover) and availability and they are introduced every December. New models and varieties are implemented by replacement as soon as they become relevant. Treatment of seasonal items: When a product offer disappears for seasonal non-availability, it is not replaced but its price relative is excluded from calculation. The index is then calculated with the rest of available prices. If the seasonal variety becomes available again the respective price relative is included in the calculation again (after potential quality adjustment). For a minority of products which would not at all be available in whole Austria the last prices are carried forward (e.g. schools and theatres in summer or public baths in winter).; Index series starts in January 1958

Key information about Egypt Core CPI Change

• Egypt Core CPI Change was reported at 10.010 % in Feb 2025.
• This records a decrease from the previous number of 22.590 % for Jan 2025.
• Egypt Core CPI Change data is updated monthly, averaging 8.488 % from Jan 2005 to Feb 2025, with 242 observations.
• The data reached an all-time high of 41.000 % in Jun 2023 and a record low of 0.720 % in Jul 2020.
• Egypt Core CPI Change data remains active status in CEIC and is reported by CEIC Data.
• The data is categorized under World Trend Plus’s Global Economic Monitor – Table: Core CPI: Y-o-Y Growth: Monthly.

The Central Bank of Egypt provides monthly Core Consumer Price Index Growth with base 2018-2019=100. Core Consumer Price Index covers Urban area only as it is the official index used for inflation calculation in Egypt. Core Consumer Price Index excludes regulated items and the most volatile food items, namely fruits and vegetables.

United States PCE: PI: Qtr: Less Formula Effect data was reported at -0.050 Point in Mar 2013. This records an increase from the previous number of -0.160 Point for Dec 2012. United States PCE: PI: Qtr: Less Formula Effect data is updated quarterly, averaging -0.160 Point from Mar 2002 (Median) to Mar 2013, with 45 observations. The data reached an all-time high of 0.710 Point in Dec 2008 and a record low of -0.450 Point in Sep 2005. United States PCE: PI: Qtr: Less Formula Effect data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.A139: NIPA 2009: Personal Consumption Expenditure Price Index and CPI Reconciliation: Quarterly.

According to latest figures published by the National Bureau of Statistics of China, the average annual inflation rate in China ranged at around 0.2 percent in 2024 compared to the previous year. This was lower than formerly expected by the IMF. For 2025, projections by the IMF published in October 2024 expected the inflation rate to reach around 1.7 percent. The monthly inflation rate in China dropped to negative values in the second half of 2023 and remained comparatively low in 2024. Calculation of inflation The inflation rate is calculated based on the Consumer Price Index (CPI) for China. The CPI is computed using a product basket that contains a predefined range of products and services on which the average consumer spends money throughout the year. Included are expenses for groceries, clothes, rent, power, telecommunications, recreational activities, and raw materials (e.g. gas, oil), as well as federal fees and taxes. The product basked is adjusted every five years to reflect changes in consumer preference and has been updated in 2020 for the last time. The inflation rate is then calculated using changes in the CPI. As the inflation of a country is seen as a key economic indicator, it is frequently used for international comparison. China's inflation in comparison Among the main industrialized and emerging economies worldwide, China displayed comparatively low inflation in 2023 and 2024. In previous years, China's inflation ranged marginally above the inflation rates of established industrialized powerhouses such as the United States or the European Union. However, this changed in 2021, as inflation rates in developed countries rose quickly, while prices in China only increased moderately. According to IMF estimates for 2024, Zimbabwe was expected to be the country with the highest inflation rate, with a consumer price increase of about 561 percent compared to 2023. In 2023, Turkmenistan had the lowest price increase worldwide with prices actually decreasing by about 1.7 percent.

United States PCE: PI: Less Formula Effect: Tobacco data was reported at 0.000 Point in May 2013. This stayed constant from the previous number of 0.000 Point for Apr 2013. United States PCE: PI: Less Formula Effect: Tobacco data is updated monthly, averaging 0.000 Point from Jan 2002 (Median) to May 2013, with 137 observations. The data reached an all-time high of 0.000 Point in May 2013 and a record low of -0.010 Point in Apr 2009. United States PCE: PI: Less Formula Effect: Tobacco data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.A138: NIPA 2009: Personal Consumption Expenditure Price Index and CPI Reconciliation: Monthly.

United States PCE: PI: Qtr: Less Formula Eff: Elec, Gas, Fuel Oil & Oth HH Fuels data was reported at -0.010 Point in Mar 2013. This records an increase from the previous number of -0.020 Point for Dec 2012. United States PCE: PI: Qtr: Less Formula Eff: Elec, Gas, Fuel Oil & Oth HH Fuels data is updated quarterly, averaging -0.010 Point from Mar 2002 (Median) to Mar 2013, with 45 observations. The data reached an all-time high of 0.090 Point in Dec 2008 and a record low of -0.130 Point in Dec 2005. United States PCE: PI: Qtr: Less Formula Eff: Elec, Gas, Fuel Oil & Oth HH Fuels data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s United States – Table US.A274: NIPA 2009: PCE Price Index and CPI Reconciliation: Quarterly.

United States PCE: PI: Less Formula Effect data was reported at 0.000 Point in May 2013. This records a decrease from the previous number of 0.030 Point for Apr 2013. United States PCE: PI: Less Formula Effect data is updated monthly, averaging -0.010 Point from Jan 2002 (Median) to May 2013, with 137 observations. The data reached an all-time high of 0.110 Point in Nov 2008 and a record low of -0.080 Point in Sep 2005. United States PCE: PI: Less Formula Effect data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s United States – Table US.A273: NIPA 2009: PCE Price Index and CPI Reconciliation.

Abstract

Susenas (National Socio-economic Survey) was held for the first time in year 1963. In the last two decades, up to year 2010, Susenas was conducted every year. Susenas was designed to have 3 modules (Module of Household Consumption/Expenditure, Module of Education and Socio-culture, and also Module of Health and Housing) and each module should be conducted every 3 years. Household Consumption/ Expenditure Module of Susenas shall be conducted in year 2011 .

To improve the accuracy of data result and in line with the increased frequency of household consumption/expenditure data request for quarterly GDP/GRDP and poverty calculation, data collection of household consumption/expenditure, it is planned that starting in 2011 it should be held quarterly. Each year, collecting data shall be conducted in March, June, September, and December.

In accordance with the 5-year cycle, in year 2012, BPS (Central Statistical Agency) shall have planned Survei Biaya Hidup-SBH (Cost of Living Survey) with the aim to generate a commodity package and a weigh diagram in the calculation of Consumer Price Index (CPI). Data of food and non-food consumption expenditures as well as household characteristics collected in SBH and Susenas has the same concept/definition, but different implementation time. In order to be more efficient in the utilization of resources of the two surveys and to have a better quality of results achieved, in year 2011 a trial of Susenas and SBH integration shall be conducted in 7 cities (Medan, Sampit, Denpasar, Kudus, Bulukumba, Tual, and South Jakarta).

Poverty data, CPI/Inflation data, GDP/GRDP are BPS strategic data that have to be released on time. Therefore, planning, field preparation, processing, and presentation of data Susenas 2011 activities and trial of integrating Susenas and SBH must be in accordance with the set schedule.

Activities of Susenas 2011 preparation shall be conducted in year 2010, covering activities of workshop/training of chief instructor with the aim to synchronize the perception toward the concept/definition as well as procedure and protocol of survey implementation. National instructor training will also be conducted in year 2010.

Geographic coverage

National coverage, representative to the district level

Analysis unit

Household Members (Individual) and Household

Universe

Susenas 2011 cover 300,000 household sample spread all over Indonesia where each quarter distribute about 75,000 household sample (including 500 households additional sample for Survey in Maluku Province). The result from each quarter can produce national and provincial level estimates. Meanwhile from the cummulative four quarter, the data can be presented until the district/municipality level.

Kind of data

Sample survey data [ssd]

Sampling procedure

From the master sampling frame (Nh enumeration areas) were retractable sample enumeration areas in a probability proportional to size (pps) method, nh acquired 30,000 enumeration areas. Then divided into 4 quarters so that each quarter 7,500 enumeration areas. The next stage selected one census block (BS) in a probability proportional to size (pps) method, whereas size is the number of households from SP 2010 RBL1. The last stage, of each BS Susenas been selected for a number of common household (m = 10) based on the results of systematic updating of listing of households using SP 2010 C1 VSEN2011 List - P. Then do the enumeration of 75,000 households.

Mode of data collection

Face-to-face

United States PCE: PI: Qtr: Less Formula Eff: Other data was reported at -0.020 Point in Mar 2013. This stayed constant from the previous number of -0.020 Point for Dec 2012. United States PCE: PI: Qtr: Less Formula Eff: Other data is updated quarterly, averaging -0.050 Point from Mar 2002 (Median) to Mar 2013, with 45 observations. The data reached an all-time high of 0.160 Point in Jun 2008 and a record low of -0.190 Point in Mar 2008. United States PCE: PI: Qtr: Less Formula Eff: Other data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s United States – Table US.A274: NIPA 2009: PCE Price Index and CPI Reconciliation: Quarterly.

United States PCE: PI: Less Formula Effect: Gasoline & Other Motor Fuel data was reported at 0.000 Point in May 2013. This records a decrease from the previous number of 0.030 Point for Apr 2013. United States PCE: PI: Less Formula Effect: Gasoline & Other Motor Fuel data is updated monthly, averaging 0.000 Point from Jan 2002 (Median) to May 2013, with 137 observations. The data reached an all-time high of 0.090 Point in Nov 2008 and a record low of -0.040 Point in Nov 2007. United States PCE: PI: Less Formula Effect: Gasoline & Other Motor Fuel data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s United States – Table US.A273: NIPA 2009: PCE Price Index and CPI Reconciliation.

Abstract

Susenas (National Socio-economic Survey) was held for the first time in year 1963. In the last two decades, up to year 2010, Susenas was conducted every year. Susenas was designed to have 3 modules (Module of Household Consumption/Expenditure, Module of Education and Socio-culture, and also Module of Health and Housing) and each module should be conducted every 3 years. Household Consumption/ Expenditure Module of Susenas shall be conducted in year 2011.

To improve the accuracy of data result and in line with the increased frequency of household consumption/expenditure data request for quarterly GDP/GRDP and poverty calculation, data collection of household consumption/expenditure, it is planned that starting in 2011 it should be held quarterly. Each year, collecting data shall be conducted in March, June, September, and December.

In accordance with the 5-year cycle, in year 2012, BPS (Central Statistical Agency) shall have planned Survei Biaya Hidup-SBH (Cost of Living Survey) with the aim to generate a commodity package and a weigh diagram in the calculation of Consumer Price Index (CPI). Data of food and non-food consumption expenditures as well as household characteristics collected in SBH and Susenas has the same concept/definition, but different implementation time. In order to be more efficient in the utilization of resources of the two surveys and to have a better quality of results achieved, in year 2011 a trial of Susenas and SBH integration shall be conducted in 7 cities (Medan, Sampit, Denpasar, Kudus, Bulukumba, Tual, and South Jakarta).

Poverty data, CPI/Inflation data, GDP/GRDP are BPS strategic data that have to be released on time. Therefore, planning, field preparation, processing, and presentation of data Susenas 2011 activities and trial of integrating Susenas and SBH must be in accordance with the set schedule.

Activities of Susenas 2011 preparation shall be conducted in year 2010, covering activities of workshop/training of chief instructor with the aim to synchronize the perception toward the concept/definition as well as procedure and protocol of survey implementation. National instructor training will also be conducted in year 2010.

Geographic coverage

National coverage, representative to the district level

Analysis unit

Household Members (Individual) and Household

Universe

Susenas 2011 cover 300,000 household sample spread all over Indonesia where each quarter distribute about 75,000 household sample (including 500 households additional sample for Survey in Maluku Province). The result from each quarter can produce national and provincial level estimates. Meanwhile from the cummulative four quarter, the data can be presented until the district/municipality level.

Kind of data

Sample survey data [ssd]

Sampling procedure

From the master sampling frame (Nh enumeration areas) were retractable sample enumeration areas a pps manner nh acquired 30,000 enumeration areas. Then divided into 4 quarters so that each quarter 7,500 enumeration areas. The next stage selected one census block (BS) in pps with household size number SP 2010 RBL1. The last stage, of each BS Susenas been selected for a number of common household (m = 10) based on the results of systematic updating of listing of households using SP 2010 C1 VSEN2011 List - P. Then do the enumeration of 75,000 households.

Mode of data collection

Face-to-face [f2f]

As of September 2024, Mumbai had the highest cost of living among other cities in the country, with an index value of 26.5. Gurgaon, a satellite city of Delhi and part of the National Capital Region (NCR) followed it with an index value of 25.1.  What is cost of living? The cost of living varies depending on geographical regions and factors that affect the cost of living in an area include housing, food, utilities, clothing, childcare, and fuel among others. The cost of living is calculated based on different measures such as the consumer price index (CPI), living cost indexes, and wage price index. CPI refers to the change in the value of consumer goods and services. The wage price index, on the other hand, measures the change in labor services prices due to market pressures. Lastly, the living cost indexes calculate the impact of changing costs on different households. The relationship between wages and costs determines affordability and shifts in the cost of living. Mumbai tops the list Mumbai usually tops the list of most expensive cities in India. As the financial and entertainment hub of the country, Mumbai offers wide opportunities and attracts talent from all over the country. It is the second-largest city in India and has one of the most expensive real estates in the world.

PCE：PI：扣除配方效应：住房在05-01-2013达0.000点，相较于04-01-2013的0.000点保持不变。PCE：PI：扣除配方效应：住房数据按月更新，01-01-2002至05-01-2013期间平均值为0.000点，共137份观测结果。CEIC提供的PCE：PI：扣除配方效应：住房数据处于定期更新的状态，数据来源于Bureau of Economic Analysis，数据归类于全球数据库的美国 – 表US.A243：国民收入和国民产值账户 2009：PCE Price Index and CPI Reconciliation。

PCE：PI：季度：扣除配方效应在03-01-2013达-0.050点，相较于12-01-2012的-0.160点有所增长。PCE：PI：季度：扣除配方效应数据按季更新，03-01-2002至03-01-2013期间平均值为-0.160点，共45份观测结果。该数据的历史最高值出现于12-01-2008，达0.710点，而历史最低值则出现于09-01-2005，为-0.450点。CEIC提供的PCE：PI：季度：扣除配方效应数据处于定期更新的状态，数据来源于Bureau of Economic Analysis，数据归类于Global Database的美国 – 表 US.A138：国民收入和国民产值账户 2009：个人消费支出物价指数和居民消费价格指数调和：季度。