Graph and download economic data for Consumer Price Index for All Urban Consumers: Household Furnishings and Operations in U.S. City Average (CUUR0000SAH3) from Jan 1967 to Jun 2025 about urban, households, consumer, CPI, inflation, price index, indexes, price, and USA.

The Housing Affordability Index value in the United States plummeted in 2022, surpassing the historical record of ***** index points in 2006. In 2024, the housing affordability index measured **** index points, making it the second-worst year for homebuyers since the start of the observation period. What does the Housing Affordability Index mean? The Housing Affordability Index uses data provided by the National Association of Realtors (NAR). It measures whether a family earning the national median income can afford the monthly mortgage payments on a median-priced existing single-family home. An index value of 100 means that a family has exactly enough income to qualify for a mortgage on a home. The higher the index value, the more affordable a house is to a family. Key factors that drive the real estate market Income, house prices, and mortgage rates are some of the most important factors influencing homebuyer sentiment. When incomes increase, consumer power also increases. The median household income in the United States declined in 2022, affecting affordability. Additionally, mortgage interest rates have soared, adding to the financial burden of homebuyers. The sales price of existing single-family homes in the U.S. has increased year-on-year since 2011 and reached ******* U.S. dollars in 2023.

Real Household Income Index: PY=100: CF: Tula Region data was reported at 111.400 Prev Year=100 in 2024. This records an increase from the previous number of 107.000 Prev Year=100 for 2023. Real Household Income Index: PY=100: CF: Tula Region data is updated yearly, averaging 103.200 Prev Year=100 from Dec 1994 (Median) to 2024, with 31 observations. The data reached an all-time high of 119.800 Prev Year=100 in 2006 and a record low of 78.000 Prev Year=100 in 1998. Real Household Income Index: PY=100: CF: Tula Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HA008: Real Household Income Index: by Region: Previous Year=100.

Case Shiller Home Price Index in the United States increased to 342.97 points in May from 341.55 points in April of 2025. This dataset provides the latest reported value for - United States S&P Case-Shiller Home Price Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The year-end value of the S&P Case Shiller National Home Price Index amounted to 321.45 in 2024. The index value was equal to 100 as of January 2000, so if the index value is equal to 130 in a given year, for example, it means that the house prices increased by 30 percent since 2000. S&P/Case Shiller U.S. home indices – additional informationThe S&P Case Shiller National Home Price Index is calculated on a monthly basis and is based on the prices of single-family homes in nine U.S. Census divisions: New England, Middle Atlantic, East North Central, West North Central, South Atlantic, East South Central, West South Central, Mountain and Pacific. The index is the leading indicator of the American housing market and one of the indicators of the state of the broader economy. The index illustrates the trend of home prices and can be helpful during house purchase decisions. When house prices are rising, a house buyer might want to speed up the house purchase decision as the transaction costs can be much higher in the future. The S&P Case Shiller National Home Price Index has been on the rise since 2011.The S&P Case Shiller National Home Price Index is one of the indices included in the S&P/Case-Shiller Home Price Index Series. Other indices are the S&P/Case Shiller 20-City Composite Home Price Index, the S&P/Case Shiller 10-City Composite Home Price Index and twenty city composite indices.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Household Furnishings and Supplies in U.S. City Average (CUUS0000SAH31) from H1 2010 to H1 2025 about furniture, supplies, urban, households, consumer, CPI, price index, indexes, price, and USA.

Real Household Income Index: PY=100: NW: Pskov Region data was reported at 107.900 Prev Year=100 in 2024. This records an increase from the previous number of 106.800 Prev Year=100 for 2023. Real Household Income Index: PY=100: NW: Pskov Region data is updated yearly, averaging 101.200 Prev Year=100 from Dec 1994 (Median) to 2024, with 31 observations. The data reached an all-time high of 126.700 Prev Year=100 in 2002 and a record low of 84.900 Prev Year=100 in 1998. Real Household Income Index: PY=100: NW: Pskov Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HA008: Real Household Income Index: by Region: Previous Year=100.

Russia Real Household Income Index: Same Mth PY=100: SB: Tomsk Region data was reported at 96.800 Same Mth PY=100 in Dec 2018. This records a decrease from the previous number of 100.800 Same Mth PY=100 for Nov 2018. Russia Real Household Income Index: Same Mth PY=100: SB: Tomsk Region data is updated monthly, averaging 100.700 Same Mth PY=100 from Jan 2009 (Median) to Dec 2018, with 120 observations. The data reached an all-time high of 125.500 Same Mth PY=100 in Aug 2013 and a record low of 82.200 Same Mth PY=100 in Aug 2009. Russia Real Household Income Index: Same Mth PY=100: SB: Tomsk Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HA006: Real Household Income Index: by Region: Same Month Previous Year=100 (Discontinued). Changed data frequency from monthly to quarterly Replacement series ID: 414570487 In accordance with the order of the Government of the Russian Federation (dated March 20, 2019 No. 469-p), starting from 2019, a quarterly periodicity is established. Data before 2019 was available in monthly frequency. Изменено с ежемесячной на квартальную основу Код серии замены: 414570487 В соответствии с распоряжением Правительства Российской Федерации (от 20 марта 2019г. № 469-р), начиная с 2019 года установлена квартальная периодичность. Значения раньше 2019 г. предоставлялись на ежемесячной основе.

The Index of Household Advantage and Disadvantage (IHAD) provides a summary measure of relative socio-economic advantage and disadvantage for households, based on the characteristics of dwellings and the people living within them, using 2021 Census data.

All in-scope households are ordered from lowest to highest score. A low score indicates relatively greater disadvantage and a lack of advantage in general. A high score indicates a relative lack of disadvantage and greater advantage in general.

This dataset presents IHAD data in quartiles. The lowest 25% of households are given a quartile number of 1, the next lowest 25% of households are given a quartile number of 2 and so on, up to the highest 25% of households which are given a quartile number of 4. This means that households are divided into four equal sized groups, depending on their score. In practice these groups won’t each be exactly 25% of households as it depends on the distribution of the IHAD scores. The data is grouped by Statistical Area Level 2 (SA2 2021). SA2s are defined by the Australian Statistical Geography Standard (ASGS) Edition 3.

Key Attributes:

      Field alias
      Field name
      Description


      Statistical Areas Level 2 2021 code
      SA2_CODE_2021
      2021 Statistical Areas Level 2 (SA2) codes from the Australian Statistical Geography Standard (ASGS), Edition 3. SA2s are medium-sized general purpose areas built to represent communities that interact together socially and economically. 


        Statistical Areas Level 2 2021 name
      SA2_NAME_2021
      2021 Statistical Areas Level 2 (SA2) names from the Australian Statistical Geography Standard (ASGS), Edition 3. SA2s are medium-sized general purpose areas built to represent communities that interact together socially and economically. 


      Area in square kilometres
      AREA_ALBERS_SQKM
      The area of a region in square kilometres, based on the Albers equal area conic projection.


      Uniform Resource Identifier
      ASGS_LOCI_URI_2021
      A uniform resource identifier can be used in web linked applications for data integration. 


      IHAD quartile 1
      IHAD_QUARTILE1
      Proportion of in-scope dwellings in the SA2 that fall into IHAD quartile 1, indicating relatively greater disadvantage and a lack of advantage in general.


      IHAD quartile 2
      IHAD_QUARTILE2
      Proportion of in-scope dwellings in the SA2 that fall into IHAD quartile 2.


      IHAD quartile 3
      IHAD_QUARTILE3
      Proportion of in-scope dwellings in the SA2 that fall into IHAD quartile 3.


      IHAD quartile 4
      IHAD_QUARTILE4
      Proportion of in-scope dwellings in the SA2 that fall into IHAD quartile 4, indicating a relative lack of disadvantage and greater advantage in general.


      Occupied private dwellings
      OPD_2021
      Dwellings in-scope of the IHAD i.e. classifiable occupied private dwellings.


      SEIFA IRSAD quartile
      IRSAD_QUARTILE
      Index of Relative Socio-economic Advantage and Disadvantage quartile. All SA2s are ordered from lowest to highest score, the lowest 25% of SA2s are given a quartile number of 1, the next lowest 25% of SA2s are given a quartile number of 2 and so on, up to the highest 25% of SA2s which are given a quartile number of 4. This means that SA2s are divided into four equal sized groups, depending on their score. In practice these groups won’t each be exactly 25% of SA2s as it depends on the distribution of SEIFA scores.


      Usual resident population
      URP_2021
      Population counts in this column are based on place of usual residence as reported on Census Night. These include persons out of scope of the IHAD.


      Dwellings
      DWELLING
      Total dwellings at Census time, including dwellings out of scope of the IHAD e.g. unoccupied private dwellings.

Please note: Proportional totals may equal more than 100% due to rounding and random adjustments made to the data. When calculating proportions, percentages, or ratios from cross-classified or small area tables, the random error introduced can be ignored except when very small cells are involved, in which case the impact on percentages and ratios can be significant. Refer to the Introduced random error / perturbation Census page on the ABS website for more information.

Data and geography references

Source data publication: Index of Household Advantage and Disadvantage Geographic boundary information: Australian Statistical Geography Standard (ASGS) Edition 3 Further information: Index of Household Advantage and Disadvantage methodology, 2021 Source: Australian Bureau of Statistics (ABS)

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United States - Consumer Price Index for All Urban Consumers: Repair of Household Items in U.S. City Average was 393.37300 Index Dec 1997=100 in July of 2024, according to the United States Federal Reserve. Historically, United States - Consumer Price Index for All Urban Consumers: Repair of Household Items in U.S. City Average reached a record high of 393.37300 in July of 2024 and a record low of 100.00000 in December of 1997. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Consumer Price Index for All Urban Consumers: Repair of Household Items in U.S. City Average - last updated from the United States Federal Reserve on July of 2025.

This statistic shows the volume of sales (quantity bought) through household goods stores in Great Britain from 2013 to 2023, as index number of sales per week. In 2023, the index value for sales volume through household goods stores measured at ****.

This statistic displays the consumer price index (CPI) changes for major household electrical and non-electrical appliances in France from May 2020 to December 2024. In December 2024, the CPI amounted to 94.11.

Median household income by race/ethnicity in New Orleans, Metro New Orleans, and the United States, 1979, 1989, 1999, 2010, 2016

The S&P Case Shiller New York Home Price Index has increased steadily in recent years. The index measures changes in the prices of existing single-family homes. The index value was equal to 100 as of January 2000, so if the index value is equal to *** in a given month, for example, it means that the house prices increased by ** percent since 2000. The value of the S&P Case Shiller New York Home Price Index amounted to ****** in August 2024. That was below the national average.

In 2023, according to the Gini coefficient, household income distribution in the United States was 0.47. This figure was at 0.43 in 1990, which indicates an increase in income inequality in the U.S. over the past 30 years. What is the Gini coefficient? The Gini coefficient, or Gini index, is a statistical measure of economic inequality and wealth distribution among a population. A value of zero represents perfect economic equality, and a value of one represents perfect economic inequality. The Gini coefficient helps to visualize income inequality in a more digestible way. For example, according to the Gini coefficient, the District of Columbia and the state of New York have the greatest amount of income inequality in the U.S. with a score of 0.51, and Utah has the greatest income equality with a score of 0.43. The Gini coefficient around the world The Gini coefficient is also an effective measure to help picture income inequality around the world. For example, in 2018 income inequality was highest in South Africa, while income inequality was lowest in Slovenia.

The S&P Case Shiller Cleveland Home Price Index has increased steadily in recent years. The index measures changes in the prices of existing single-family homes. The index value was equal to 100 as of January 2000, so if the index value is equal to 130 in a given month, for example, it means that the house prices have increased by 30 percent since 2000. The value of the S&P Case Shiller Cleveland Home Price Index amounted to 192.23 in August 2024. That was significantly below the national average.

United States Household Income: sa: $35,000 to 49,999 data was reported at 82.100 1985=100 in Apr 2025. This records a decrease from the previous number of 88.000 1985=100 for Mar 2025. United States Household Income: sa: $35,000 to 49,999 data is updated monthly, averaging 96.950 1985=100 from Jan 1989 (Median) to Apr 2025, with 436 observations. The data reached an all-time high of 154.100 1985=100 in May 2000 and a record low of 23.800 1985=100 in Feb 2009. United States Household Income: sa: $35,000 to 49,999 data remains active status in CEIC and is reported by The Conference Board. The data is categorized under Global Database’s United States – Table US.H: Consumer Confidence Index: Household Income. [COVID-19-IMPACT]

Graph and download economic data for Harmonized Index of Consumer Prices: Furnishings, Household Equipment and Routine Household Maintenance for Finland (CP0500FIM086NEST) from Jan 1996 to May 2025 about Finland, maintenance, furniture, harmonized, equipment, households, CPI, housing, price index, indexes, and price.

Between December 31, 2022, and March 18, 2023, prices of household products in the UK remained inflationary above the index base level of 100. According to data, the price inflation of these products reached an index level of *** in the most recently reported week.