The UK inflation rate was 3.6 percent in June 2025, up from 3.4 percent in the previous month, and the fastest rate of inflation since January 2024. Between September 2022 and March 2023, the UK experienced seven months of double-digit inflation, which peaked at 11.1 percent in October 2022. Due to this long period of high inflation, UK consumer prices have increased by over 20 percent in the last three years. As of the most recent month, prices were rising fastest in the communications sector, at 6.1 percent, but were falling in both the furniture and transport sectors, at -0.3 percent and -0.6 percent, respectively.
The Cost of Living Crisis
High inflation is one of the main factors behind the ongoing Cost of Living Crisis in the UK, which, despite subsiding somewhat in 2024, is still impacting households going into 2025. In December 2024, for example, 56 percent of UK households reported their cost of living was increasing compared with the previous month, up from 45 percent in July, but far lower than at the height of the crisis in 2022. After global energy prices spiraled that year, the UK's energy price cap increased substantially. The cap, which limits what suppliers can charge consumers, reached 3,549 British pounds per year in October 2022, compared with 1,277 pounds a year earlier. Along with soaring food costs, high-energy bills have hit UK households hard, especially lower income ones that spend more of their earnings on housing costs. As a result of these factors, UK households experienced their biggest fall in living standards in decades in 2022/23.
Global inflation crisis causes rapid surge in prices
The UK's high inflation, and cost of living crisis in 2022 had its origins in the COVID-19 pandemic. Following the initial waves of the virus, global supply chains struggled to meet the renewed demand for goods and services. Food and energy prices, which were already high, increased further in 2022. Russia's invasion of Ukraine in February 2022 brought an end to the era of cheap gas flowing to European markets from Russia. The war also disrupted global food markets, as both Russia and Ukraine are major exporters of cereal crops. As a result of these factors, inflation surged across Europe and in other parts of the world, but typically declined in 2023, and approached more usual levels by 2024.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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The 'shopping basket' of items making up the suite of consumer price inflation indices (CPI, CPIH, RPIJ & RPI) are reviewed every year. Some items are taken out of the basket, some are brought in, to reflect changes in the market and to make sure the indices are up to date and representative of consumer spending patterns. This article describes the review process and explains how and why the various items in the inflation baskets are chosen. Source agency: Office for National Statistics Designation: National Statistics Language: English Alternative title: Basket of Goods
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Construction Output Price Indices (OPIs) from January 2014 to June 2025, UK. Summary
This Annual GVA series is our most accurate estimate of Digital Sector GVA. These Economic Estimates are Accredited Official Statistics used to provide an estimate of the contribution of the Digital Sector and its associated subsectors to the UK, measured by GVA (gross value added).
This is the first release of provisional annual estimates for 2023, and Blue Book 2024 inclusive revisions to 2019 to 2022 annual estimates. The provisional Annual GVA estimates for 2023 for the Digital Sector will be revised in our next release, upon updates to underlying ABS data, and further revised in the following statistical release to include Blue Book 2025 revisions. Our next release is planned to include a full analytical report providing additional analysis on our produced GVA estimates.
This release includes a methodology update to the deflators used to remove the effects of inflation in our chained volume measure estimates. A summary of the revisions to 2019 to 2022 estimates as part of this release can be found in the accompanying revisions report.
This is a continuation of the Digital Sector Economic Estimates: Annual GVA release series, previously produced by the Department for Culture, Media and Sport (DCMS). Responsibility for Digital and Telecommunications policy now sits with the Department for Science, Innovation and Technology (DSIT).
Findings in this release are calculated based on the published Office for National Statistics (ONS) https://www.ons.gov.uk/economy/nationalaccounts/supplyandusetables/datasets/supplyanduseofproductsandindustrygvaukexperimental" class="govuk-link">Supply and Use Tables, ONS https://www.ons.gov.uk/economy/grossdomesticproductgdp/datasets/ukgdpolowlevelaggregates" class="govuk-link">Gross Domestic Product (GDP) low-level aggregates and the ONS https://www.ons.gov.uk/businessindustryandtrade/business/businessservices/methodologies/annualbusinesssurveyabs" class="govuk-link">Annual Business Survey (ABS).
The Supply and Use Tables (SUT) report balanced GVA at the 2-digit Standard Industrial Classification (SIC) code level up to 2022. SUT <abbr title="Gross V
A series for the GDP deflator in index form is produced by the Treasury from data provided by the Office for National Statistics (ONS) and the Office for Budget Responsibility (OBR). The GDP deflator set is updated after every ONS Quarterly National Accounts release (at the end of each quarter) and whenever the OBR updates its GDP deflator forecasts (usually twice a year).
Outturn data are the latest Quarterly National Accounts figures from the ONS, 20 December 2013. GDP deflators from 1955-56 to 2012-13 (1955 to 2012) have been taken directly from ONS Quarterly National Accounts implied deflator at market prices series http://www.ons.gov.uk/ons/datasets-and-tables/data-selector.html?cdid=L8GG&dataset=qna&table-id=N" class="govuk-link">L8GG.
Forecast data are consistent with the Autumn Statement, 05 December 2013.
The detail below aims to provide background information on the GDP deflator series and the concepts and methods underlying it.
GDP deflators can be used by anyone who has an interest in deflating current price nominal data into a “real terms” prices basis. This guide has been written with casual as well as professional users of the data in mind, using language and concepts aimed at as wide an audience as possible.
The GDP deflator can be viewed as a measure of general inflation in the domestic economy. Inflation can be described as a measure of price changes over time. The deflator is usually expressed in terms of an index, i.e. a time series of index numbers. Percentage changes on the previous year are also shown. The GDP deflator reflects movements of hundreds of separate deflators for the individual expenditure components of GDP. These components include expenditure on such items as bread, investment in computers, imports of aircraft, and exports of consultancy services.
The series allows for the effects of changes in price (inflation) to be removed from a time series, i.e. it allows the change in the volume of goods and services to be measured. The resultant series can be used to express a given time series or data set in real terms, i.e. by removing price changes.
A series for the GDP deflator in index form is produced by the Treasury from data provided by the Office for National Statistics (ONS). Forecasts are produced by the Office for Budgetary Responsibility (OBR) and are usually updated around the time of major policy announcements, namely; the Chancellor’s Autumn Statement, and the Budget.
GDP deflators for earlier years (up to and including the most recent year for which full quarterly data have been published) are presented to 3 decimal places. The index for future years has been removed as the forecasts were not as accurate as this detail would suggest. Percentage year-on-year changes are given to two decimal places for earlier years, forecast years are presented to 1 decimal place as published in the Autumn Statement and the Budget.
Gross Domestic Product (GDP) is a measure of the total domestic economic activity. It is the sum of all incomes earned by the production of goods and services within the UK economic territory. It is worth noting that where the earner of the income resides is irrelevant, so long as the goods or services themselves are produced within the UK. GDP is equivalent to the value added to the economy by this activity. Value added can be defined as income
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Context
The dataset tabulates the median household income in Little Britain township. It can be utilized to understand the trend in median household income and to analyze the income distribution in Little Britain township by household type, size, and across various income brackets.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of Little Britain township median household income. You can refer the same here
Modelled counts of patients registered at a GP practice by single year of age (0-95+), sex, and local authority of residence. These modelled data contain information from NHS Digital, licenced under the current version of the Open Government Licence: Counts of patients by practice attended x sex x LSOA of residence - currently published quarterly Counts of patients by practice attended x sex x single year of age - currently published monthly These data are published by NHS Digital here: https://digital.nhs.uk/data-and-information/publications/statistical/patients-registered-at-a-gp-practice Please refer to NHS DIgital documentation for full data quality and metadata information about the original data. The GLA modelled counts of patients by age, sex, and local authority of residence are created by a simple process of apportioning the data for each GP practice in (2) by the distribution for each practice in (1). As residence data is only published quarterly, distributions for other months are interpolated. A respository of the code used to generate the modelled counts is available on GitHub at: https://github.com/Greater-London-Authority/process-published-nhs-data This data is used as an input to Modelled estimates of recent births Notes on usage Patient register data can be used to provide frequent low-latency indicators of changing population trends. However, patient counts should not be interpreted as a direct proxy for population. Patient counts have been prone to compounding inflation in recent years, primarily as a result of failures to remove former patients that have since moved overseas (local inflation/deficits also occur due to delays in patients updating their records or registering with a new GP when moving within the UK). The rate of inflation varies by area, sex, and age, being greatest for: areas with high volumes of international migration adults age 20-30 (with the impact spreading to older groups over time) males - due to typically lower levels of interaction with health services
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Context
The dataset tabulates the median household income in New Britain. It can be utilized to understand the trend in median household income and to analyze the income distribution in New Britain by household type, size, and across various income brackets.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of New Britain median household income. You can refer the same here
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
This is the total gross value added (GVA) generated from arts, entertainment and recreation enterprises in the area calculated using a balanced approach to GVA.These figures are presented in £ millions at current basic prices. They do not allow for different regional price levels or changes in prices over time (inflation). Balanced GVA estimates are produced by combining the existing income and production GVA estimates using weighted quality metrics.
Income GVA estimates are calculated by adding up the income generated by individuals or corporations in the production of goods and services whilst the Production Approach estimates GVA by calculating the total output of goods and services less the value of goods and services used up in the production process. A Balanced approach evaluates the strengths and weaknesses of these two opposing approaches and gives them an appropriate weighting in informing a single ‘balanced’ estimate of GVA.
GVA estimates are on a workplace basis, that being they are allocated to where the economic activity took place. Please note, figures can be rather volatile. If you see erratic movements in the time series, you should use caution in interpreting the data.
Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Little Britain township household income by gender. The dataset can be utilized to understand the gender-based income distribution of Little Britain township income.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of Little Britain township income distribution by gender. You can refer the same here
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
This is the total gross value added (GVA) generated from accommodation and food service activities enterprises in the area calculated using a balanced approach to GVA.These figures are presented in £ millions at current basic prices. They do not allow for different regional price levels or changes in prices over time (inflation). Balanced GVA estimates are produced by combining the existing income and production GVA estimates using weighted quality metrics.
Income GVA estimates are calculated by adding up the income generated by individuals or corporations in the production of goods and services whilst the Production Approach estimates GVA by calculating the total output of goods and services less the value of goods and services used up in the production process. A Balanced approach evaluates the strengths and weaknesses of these two opposing approaches and gives them an appropriate weighting in informing a single ‘balanced’ estimate of GVA.
GVA estimates are on a workplace basis, that being they are allocated to where the economic activity took place. Please note, figures can be rather volatile. If you see erratic movements in the time series, you should use caution in interpreting the data.
Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
The 'shopping basket' of items making up the suite of consumer price inflation indices (CPI, CPIH, RPIJ & RPI) are reviewed every year. Some items are taken out of the basket, some are brought in, to reflect changes in the market and to make sure the indices are up to date and representative of consumer spending patterns. This article describes the review process and explains how and why the various items in the inflation baskets are chosen.
Source agency: Office for National Statistics
Designation: National Statistics
Language: English
Alternative title: Basket of Goods
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
This is the total gross value added (GVA) generated from all industries in the area calculated using a balanced approach to GVA. These figures are presented in £ millions at current basic prices. They do not allow for different regional price levels or changes in prices over time (inflation). Balanced GVA estimates are produced by combining the existing income and production GVA estimates using weighted quality metrics. Income GVA estimates are calculated by adding up the income generated by individuals or corporations in the production of goods and services whilst the Production Approach estimates GVA by calculating the total output of goods and services less the value of goods and services used up in the production process. A Balanced approach evaluates the strengths and weaknesses of these two opposing approaches and gives them an appropriate weighting in informing a single ‘balanced’ estimate of GVA. GVA estimates are on a workplace basis, that being they are allocated to where the economic activity took place.Data is Powered by LG Inform Plus and automatically checked for new data on the 4th of each month.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the median household income in London Britain township. It can be utilized to understand the trend in median household income and to analyze the income distribution in London Britain township by household type, size, and across various income brackets.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of London Britain township median household income. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the England household income by gender. The dataset can be utilized to understand the gender-based income distribution of England income.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of England income distribution by gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the New Britain household income by gender. The dataset can be utilized to understand the gender-based income distribution of New Britain income.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of New Britain income distribution by gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the New Britain median household income by race. The dataset can be utilized to understand the racial distribution of New Britain income.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of New Britain median household income by race. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the median household income in England. It can be utilized to understand the trend in median household income and to analyze the income distribution in England by household type, size, and across various income brackets.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of England median household income. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the England median household income by race. The dataset can be utilized to understand the racial distribution of England income.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of England median household income by race. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Little Britain township household income by age. The dataset can be utilized to understand the age-based income distribution of Little Britain township income.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of Little Britain township income distribution by age. You can refer the same here
The UK inflation rate was 3.6 percent in June 2025, up from 3.4 percent in the previous month, and the fastest rate of inflation since January 2024. Between September 2022 and March 2023, the UK experienced seven months of double-digit inflation, which peaked at 11.1 percent in October 2022. Due to this long period of high inflation, UK consumer prices have increased by over 20 percent in the last three years. As of the most recent month, prices were rising fastest in the communications sector, at 6.1 percent, but were falling in both the furniture and transport sectors, at -0.3 percent and -0.6 percent, respectively.
The Cost of Living Crisis
High inflation is one of the main factors behind the ongoing Cost of Living Crisis in the UK, which, despite subsiding somewhat in 2024, is still impacting households going into 2025. In December 2024, for example, 56 percent of UK households reported their cost of living was increasing compared with the previous month, up from 45 percent in July, but far lower than at the height of the crisis in 2022. After global energy prices spiraled that year, the UK's energy price cap increased substantially. The cap, which limits what suppliers can charge consumers, reached 3,549 British pounds per year in October 2022, compared with 1,277 pounds a year earlier. Along with soaring food costs, high-energy bills have hit UK households hard, especially lower income ones that spend more of their earnings on housing costs. As a result of these factors, UK households experienced their biggest fall in living standards in decades in 2022/23.
Global inflation crisis causes rapid surge in prices
The UK's high inflation, and cost of living crisis in 2022 had its origins in the COVID-19 pandemic. Following the initial waves of the virus, global supply chains struggled to meet the renewed demand for goods and services. Food and energy prices, which were already high, increased further in 2022. Russia's invasion of Ukraine in February 2022 brought an end to the era of cheap gas flowing to European markets from Russia. The war also disrupted global food markets, as both Russia and Ukraine are major exporters of cereal crops. As a result of these factors, inflation surged across Europe and in other parts of the world, but typically declined in 2023, and approached more usual levels by 2024.