West Virginia and Kansas had the lowest cost of living across all U.S. states, with composite costs being half of those found in Hawaii. This was according to a composite index that compares prices for various goods and services on a state-by-state basis. In West Virginia, the cost of living index amounted to **** — well below the national benchmark of 100. Virginia— which had an index value of ***** — was only slightly above that benchmark. Expensive places to live included Hawaii, Massachusetts, and California. Housing costs in the U.S. Housing is usually the highest expense in a household’s budget. In 2023, the average house sold for approximately ******* U.S. dollars, but house prices in the Northeast and West regions were significantly higher. Conversely, the South had some of the least expensive housing. In West Virginia, Mississippi, and Louisiana, the median price of the typical single-family home was less than ******* U.S. dollars. That makes living expenses in these states significantly lower than in states such as Hawaii and California, where housing is much pricier. What other expenses affect the cost of living? Utility costs such as electricity, natural gas, water, and internet also influence the cost of living. In Alaska, Hawaii, and Connecticut, the average monthly utility cost exceeded *** U.S. dollars. That was because of the significantly higher prices for electricity and natural gas in these states.

Consumer Price Index CPI in the United States increased to 323.98 points in August from 323.05 points in July of 2025. This dataset provides the latest reported value for - United States Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Annual indexes for major components and special aggregates of the Consumer Price Index (CPI), for Canada, provinces, Whitehorse, Yellowknife and Iqaluit. Data are presented for the last five years. The base year for the index is 2002=100.

People in Great Britain's experiences of and actions following increases in their costs of living, and how these differed by a range of personal characteristics.

Inflation Rate in Mexico increased to 3.57 percent in August from 3.51 percent in July of 2025. This dataset provides - Mexico Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The FCA presents the findings from a survey undertaken in January 2024 to understand the financial impact of the increased cost of living on adults across the UK. Key findings include: Since January 2023 there has been an improvement in the number of people finding it hard to manage the higher costs of living, although challenges remain for some groups. The cost of living continues to have an impact on the financial lives of some adults in the UK. In January 2024: 7.4m (14%) felt heavily burdened by their domestic bills and credit commitments 5.5m (11%) had missed any of these bills in the previous 6 months 14.6m (28%) were not coping financially or finding it difficult to cope 5.9m (11%) had no disposable income

Inflation Rate in Canada increased to 1.90 percent in August from 1.70 percent in July of 2025. This dataset provides - Canada Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Monthly indexes and percentage changes for all components and special aggregates of the Consumer Price Index (CPI), not seasonally adjusted, for Canada, provinces, Whitehorse, Yellowknife and Iqaluit. Data are presented for the corresponding month of the previous year, the previous month and the current month. The base year for the index is 2002=100.

Inflation Rate in India increased to 2.07 percent in August from 1.61 percent in July of 2025. This dataset provides - India Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Monthly indexes for major components and special aggregates of the Consumer Price Index (CPI), not seasonally adjusted, for Canada, provinces, Whitehorse, Yellowknife and Iqaluit. Data are presented for the current month and previous four months. The base year for the index is 2002=100.

Average weekly earnings for the whole economy, for total and regular pay, in real terms (adjusted for consumer price inflation), UK, monthly, seasonally adjusted.

In September 2023, Learning and Work was commissioned by the GLA to conduct research into the impact of the rising cost of living on London’s adult education landscape. GLA data shows that in 2023, 17% of Londoners were ‘struggling financially’, and another 30% were ‘just about managing’. Increased inflation also impacted the cost of doing business for London’s skills providers and Further Education (FE) workforce. This report and the summary report are based upon a survey, depth interviews and focus groups with learners, providers, and third sector organisations that provide and campaign for people on low incomes. The fieldwork took place between November 2023 and March 2024. The research provides an account of the impact of the rising cost of living on London’s FE sector.

In 2010 the Building Research Establishment (BRE) Trust published the results of a research project which sought to quantify the cost of people living in poor housing in England to the National Health Service. This was possible because of the availability of information from the English Housing Survey on the risk of a home incident occurring and its likely impact on health, measured through the Housing Health and Safety Rating System (HHSRS), combined with information from the NHS on treatment costs.A more recent briefing paper updates the BRE models and calculations using 2011 English Housing Survey and 2011 indicative NHS treatment costs. It also widens the definition from ‘poor housing’ to include all ‘sub-standard’ housing.The data presented here, with kind permission of the BRE and the report authors, sets out1. The number of homes across England which fall into categories of hazard, and the estimated cost to the NHS of each level of hazard in total.2. The frequency of various hazards making up 'poor housing' across England, setting out the cost to repair against potential savings to the NHS budget in the illnesses and accidents prevented in a year by doing the repairs; for example preventing falls in the bathroom by installing grab rails and non-slip surfaces.In this way the report provides a useful assessment of "payback periods" for hazards found in England's housing stock, offsetting the cost of putting the hazards right against the potential cost of treating people who have (for example) fallen in the bath; suffered excess cold or experienced excessive damp.

Inflation Rate in Georgia increased to 4.60 percent in August from 4.30 percent in July of 2025. This dataset provides the latest reported value for - Georgia Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The City of Toronto monitors the affordability of food annually using the Nutritious Food Basket (NFB) costing tool. Food prices, among other essential needs, have increased considerably in the last several years. People receiving social assistance and earning low wages often do not have enough money to cover the cost of basic expenses, including food. As such, NFB data is best used to monitor affordability in relation to income alongside other local basic expenses. The dataset describes the affordability of food and other basic expenses relative to income for 11 household scenarios. Scenarios were selected to reflect household characteristics that increase the risk of being food insecure, including reliance on social assistance as the main source of income, single-parent households, and rental housing. A median income scenario has also been included as a comparator. Income, including federal and provincial tax benefits, and the cost of four basic living expenses - shelter, food, childcare, and transportation - are estimated for each scenario. Results show the estimated amount of money remaining at the end of the month for each household. Three versions of the scenarios were created to describe: Income scenarios with subsidies: Subsidies can substantially reduce a households’ monthly expenses. Local subsidies for rent (Rent-Geared-to-Income), childcare (Childcare Fee Subsidy), and transit (Fair Pass) are accounted for in this file. Income scenarios without subsidies + average market rent: In this file, rental costs are based on average market rent, as measured by the Canadian Mortgage and Housing Corporation (CMHC). Income scenarios without subsidies + current market rent: Rental costs are based on current market rent (as of October 2022), as measured by the Toronto Regional Real Estate Board (TRREB).

Inflation Rate in Japan decreased to 2.70 percent in August from 3.10 percent in July of 2025. This dataset provides the latest reported value for - Japan Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The FCA analyses data, between 1 January 2022 to 31 December 2022, resulting from action taken against authorised firms breaching financial promotion rules and referrals and investigations into unregulated activity. Financial services play a critical role in the lives of everyone in the UK. The rising cost of living continues to heavily impact consumers, with the most vulnerable being hit the hardest, so it is important for consumers to get the outcomes they need from financial markets. A large part of delivering good consumer outcomes is linked to good quality marketing information. Unclear or misleading marketing is highly concerning because of the complex and often long-term nature of financial products. It is more important than ever that financial promotions are responsible and clear so consumers can commit to appropriate financial products. This data provides an overview of how the FCA is working to improve standards across the market so that consumers are provided with clear, fair and not misleading financial promotions to enable them to make an informed decision before parting with their money. It brings together the data and themes reported in the FCA's quarterly financial promotions publications during 2022, where it significantly increased its intervention activity. The FCA expects firms to read this and take necessary steps to ensure they deliver good consumer outcomes. It will continue its intervention activity where it has identify authorised and unauthorised firms and/or individuals causing consumer harm. What’s included in the data key messages examples of the FCA's work on financial promotions during 2022 information on how to report a misleading financial advert or potential scam

Abstract copyright UK Data Service and data collection copyright owner.The Integrated Household Survey (IHS), which ran from 2009-2014, was a composite survey combining questions asked on a number of social surveys conducted by the Office for National Statistics (ONS) to produce a dataset of 'core' variables. The ONS stopped producing IHS datasets from 2015 onwards; variables covering health, smoking prevalence, forces veterans, sexual identity and well-being will be incorporated into the Annual Population Survey - see the Which surveys (or modules) are included in the IHS? and What is the IHS? FAQ pages for further details. Background and history of the IHS The aim of the IHS was to produce high-level estimates for particular themes to a higher precision and lower geographic level than current ONS social surveys. The 'core' set contained around 100 questions, but a respondent was only asked a proportion of those depending on routing from answers to questions. The core questions were asked, where possible, at the beginning of the component surveys. In January 2008, a set of core questions was introduced within three ONS surveys in the General Lifestyle Survey, Living Costs and Food Survey, and the Opinions and Lifestyle Survey. In April 2008 the IHS core questions were also introduced on the English Housing Survey, bringing the family of modules on the IHS up to four. The IHS dataset for 2008-2009 was used as a pilot for the concept, developing the systems and designing the weighting methodology. The IHS data for that period have not been published as they do not provide better quality information than that within existing surveys. Hence, the earliest IHS data currently available cover 2009-2010. In April 2009 the IHS core questions were introduced on the Labour Force Survey (LFS) and Annual Population Survey (APS) questionnaires and from June 2009 the Life Opportunities Survey (LOS, which also ran from 2009-2014) was included in the IHS family of modules. With the inclusion of these new surveys the IHS became complete, with an achieved annual sample size of approximately 450,000 individuals from interviews undertaken in Great Britain and Northern Ireland. Therefore, the first IHS dataset released covers the period April 2009-March 2010, starting the IHS data series from the point that all surveys were included. The large sample size and UK-wide coverage meant that various geographical breakdowns were possible in the IHS, and it is possible to use a geographical hierarchy to drill down to lower level detail within an area. The IHS also contained data collected from the following surveys: General Lifestyle Survey; Living Costs and Food Survey; Opinions and Lifestyle Survey; English Housing Survey; Labour Force Survey; Annual Population Survey; and Life Opportunities Survey. All questions had been removed from the component surveys by 2014 and the IHS closed that year. Further information is available from the ONS Integrated Household Survey (Experimental statistics): January to December 2014 webpage. Available IHS data: End User Licence and Secure Access Users should note that there are two versions of the IHS. One is available under the standard End User Licence (EUL) agreement, and the other is a Secure Access version (SN 8075). The Secure Access version contains more detailed variables relating to age, age of youngest dependent child, country of birth, family unit type, household and household reference person, industry class, sub-class and division, month left last job, cohabitation, country of residence history, multiple households at address, nationality, New Deal training types, National Statistics Socio-Economic Classification (NS-SEC) long version, qualifications, household relationships, minor Standard Occupational Classification (SOC) groups, sexual identity, training and working age. The more detailed geographic variables present include county, unitary/local authority, Nomenclature of Territorial Units for Statistics 2 (NUTS2) and NUTS3 regions and Training and Enterprise Councils (TECs). Users should note that the user guide also mentions variables that are not included in either the EUL or Secure Access datasets held at the Archive. The EUL version contains less detailed variables. For example, the lowest geography available is Government Office Region, only major (3-digit) SOC groups are included for main, second and last job, and only industry sector for main, second and last job. Users are advised to first obtain the standard EUL version of the data before making an application for the Secure Access version to see if they are sufficient for their research requirements. The Special Licence version of the IHS January - December, 2013 is available under SN 7602. Main Topics:The IHS core questions cover several themes. These include:economic activityeducationhealth and disabilityidentityincomeIncome variables: Users should note that while income data are collected within the IHS and questions are included in the questionnaire, ONS have so far not been able to harmonise the income variables across the different surveys that comprise the IHS. Therefore, there are currently no income variables included in datasets deposited at the Archive; the variables are only included in the Government Statistical Services (GSS) client and ONS internal research datasets. For further details, see the IHS user guide. Each of the surveys comprising the IHS have their own sampling design, meaning that the IHS includes clustered and non-clustered, multistage and single stage component samples and also cross-sectional and longitudinal data.

Food insecurity is associated with increased odds of anxiety and depression, but it is unclear whether this effect is causal, and if so, the timescale over which it occurs. We conducted a preregistered analysis of an intensive longitudinal dataset, the Changing Cost of Living Study, to explore evidence for causal processes linking food insecurity to anxiety and depression. Data were collected monthly between September 2022 and August 2023 from panels of adults in the UK (n = 244) and France (n = 240). Food insecurity predicted higher concurrent symptoms of anxiety and depression (measured respectively with GAD-7 and PHQ-8), controlling for gender, age, time and mental health in the previous month. Effect sizes were similar for GAD-7 and PHQ-8 scores. Changes in food insecurity produced changes in symptoms (within-individual standardised effects: 0.15 [95% CI 0.08-0.22] on GAD-7 and 0.11 [95% CI 0.03-0.18] on PHQ-8). The deterioration in mental health when participants became food insecure was of similar magnitude to the improvement observed when they became food secure. Consistent with Granger causality, food insecurity in the current month predicted poorer mental health in the following month after controlling for current mental health. These results support the hypothesis that food insecurity causes symptoms of anxiety and depression. The effects were rapid, occurring within a month of becoming food insecure, and were equally rapidly reversed. We conclude that policy interventions designed to reduce food insecurity would have immediate, clinically relevant, positive impacts on mental health.