DK: Capacity Utilization Rate: sa: NACE 2: Mfg: Food data was reported at 85.000 % in Jun 2018. This records an increase from the previous number of 84.200 % for Mar 2018. DK: Capacity Utilization Rate: sa: NACE 2: Mfg: Food data is updated quarterly, averaging 85.100 % from Mar 1990 (Median) to Jun 2018, with 114 observations. The data reached an all-time high of 92.800 % in Jun 2007 and a record low of 75.000 % in Jun 2014. DK: Capacity Utilization Rate: sa: NACE 2: Mfg: Food data remains active status in CEIC and is reported by European Commission's Directorate-General for Economic and Financial Affairs. The data is categorized under Global Database’s Denmark – Table DK.DG ECFIN: Harmonised Business and Consumer Survey: Capacity Utilization Rate: Seasonally Adjusted: by Industry.

The Directorate General for Economic and Financial Affairs of the European Commission conducts regular harmonised surveys for different sectors of the economies in the European Union (EU) and in the applicant countries. They are addressed to representatives of the industry (manufacturing), services, retail trade and construction sectors, as well as to consumers. These surveys allow comparisons among different countries' business cycles and have become an indispensable tool for monitoring the evolution of the EU and the euro area economies, as well as monitoring developments in the applicant countries. Url of original source : https://ec.europa.eu/info/business-economy-euro/indicators-statistics/economic-databases/business-and-consumer-surveys/download-business-and-consumer-survey-data/time-series_en

The Consumer Confidence Survey reflects prevailing business conditions and likely developments for the months ahead. This monthly report details consumer attitudes and buying intentions, with data available by age, income, and region. (1967-2019)

NL: Capacity Utilization Rate: NACE 2 data was reported at 77.500 % in Jun 2025. This records an increase from the previous number of 77.200 % for Mar 2025. NL: Capacity Utilization Rate: NACE 2 data is updated quarterly, averaging 83.300 % from Mar 1985 (Median) to Jun 2025, with 162 observations. The data reached an all-time high of 86.500 % in Dec 1989 and a record low of 74.200 % in Jun 2020. NL: Capacity Utilization Rate: NACE 2 data remains active status in CEIC and is reported by European Commission's Directorate-General for Economic and Financial Affairs. The data is categorized under Global Database’s Netherlands – Table NL.DG ECFIN: Harmonised Business and Consumer Survey: Capacity Utilization Rate.

The Board uses this collection to inform consumer-focused research, implement statutory requirements, and facilitate community development. The surveys in this collection inform the Board’s work by identifying emerging risks and providing additional data on the issues that affect the well-being of consumers and communities and how the financial services marketplace functions. The surveys in this collection gather quantitative and qualitative information directly from individual consumers or households (consumer surveys) on consumer finance topics. This collection also gathers quantitative and qualitative information on current and emerging community economic issues from stakeholders (stakeholder surveys). Examples of stakeholders include community groups, community development organizations, nonprofit service providers, faith-based service organizations, public sector agencies, small business owners, health care organizations, food banks, K–12 public and private schools, community colleges, community development financial institutions, credit unions, banks, and other financial institutions and companies offering financial products and services. While these surveys are ongoing, the frequency and content of the questions may change depending on economic conditions, regulatory or legislative developments, as well as changes in technology, business practices, and other factors affecting consumers, stakeholders, and communities. The Board conducts the FR 3073 as needed, up to 30 times per year. While the Board estimates that while FR 3073 may be conducted up to 30 times per year, history suggests a lower frequency is more likely.

The Directorate General for Economic and Financial Affairs of the European Commission conducts regular harmonised surveys for different sectors of the economies in the European Union (EU) and in the applicant countries. They are addressed to representatives of the industry (manufacturing), services, retail trade and construction sectors, as well as to consumers. These surveys allow comparisons among different countries' business cycles and have become an indispensable tool for monitoring the evolution of the EU and the euro area economies, as well as monitoring developments in the applicant countries. Url of original source : https://ec.europa.eu/info/business-economy-euro/indicators-statistics/economic-databases/business-and-consumer-surveys/download-business-and-consumer-survey-data/time-series_en

The Directorate General for Economic and Financial Affairs of the European Commission conducts regular harmonised surveys for different sectors of the economies in the European Union (EU) and in the applicant countries. They are addressed to representatives of the industry (manufacturing), services, retail trade and construction sectors, as well as to consumers. These surveys allow comparisons among different countries' business cycles and have become an indispensable tool for monitoring the evolution of the EU and the euro area economies, as well as monitoring developments in the applicant countries. Url of original source : https://ec.europa.eu/info/business-economy-euro/indicators-statistics/economic-databases/business-and-consumer-surveys/download-business-and-consumer-survey-data/subsector-data_en

UK: Capacity Utilization Rate: sa: NACE 2: Mfg: Chemical data was reported at 82.000 % in Sep 2018. This records a decrease from the previous number of 83.400 % for Jun 2018. UK: Capacity Utilization Rate: sa: NACE 2: Mfg: Chemical data is updated quarterly, averaging 80.500 % from Mar 1990 (Median) to Sep 2018, with 115 observations. The data reached an all-time high of 88.200 % in Jun 1995 and a record low of 55.200 % in Mar 2014. UK: Capacity Utilization Rate: sa: NACE 2: Mfg: Chemical data remains active status in CEIC and is reported by European Commission's Directorate-General for Economic and Financial Affairs. The data is categorized under Global Database’s UK – Table UK.DG ECFIN: Harmonised Business and Consumer Survey: Capacity Utilization Rate: Seasonally Adjusted: By Industry.

This report is based on two opinion surveys, the Standard Eurobarometer 57.2 and Flash Eurobarometer 128, carried out at the request of DG Health and Consumer Protection and DG Enterprise. Both surveys were managed and organised by the Public Opinion Analysis Unit of the Press and Communication Directorate-General. The Standard Eurobarometer survey (EB 57.2) was conducted in all countries of the European Union between 30 April and 10 June 2002, under the general coordination of INRA in Belgium -- International Coordination Office, located in Brussels, on behalf of the European Opinion Research Group EEIG. The present document gives an analysis of the results from both surveys, arranged in three parts: I: B2C cross-border trade in the European Union II: Current obstacles to B2C cross-border trade III: Measures to facilitate B2C cross-border trade

The results by volumes are distributed as follows:

• Volume A: Countries
• Volume AA: Groups of countries
• Volume A' (AP): Trends
• Volume AA' (AAP): Trends of groups of countries
• Volume B: EU/socio-demographics
• Volume B' (BP) : Trends of EU/ socio-demographics
• Volume C: Country/socio-demographics ---- Researchers may also contact GESIS - Leibniz Institute for the Social Sciences: https://www.gesis.org/eurobarometer

This important piece of research into Business to Consumer (B2C) e-commerce in the European Union was conducted in autumn 2003 and involved face-to-face interviews with 16,207 EU15 citizens. It is the first major survey of its kind and focuses on this new and growing way of distributing goods and services - a purchasing channel that has now been used by 16% of EU citizens. This report first assesses EU citizens’ awareness of fraud, tax evasion, money laundering and counterfeiting in their home country, the rest of the EU, candidate countries and then the rest of the world. Respondents were also asked to select the particular element of fraud that most concerned them. A list of illegal activities ranging from counterfeiting and pirated software to tax evasion and misappropriation of aids and grants was reviewed. Media coverage of all aspects of defrauding the European Union and its budget was discussed and respondents asked to assess how well the media kept them informed on this issue.

The results by volumes are distributed as follows:

• Volume A: Countries
• Volume AA: Groups of countries
• Volume A' (AP): Trends
• Volume AA' (AAP): Trends of groups of countries
• Volume B: EU/socio-demographics
• Volume B' (BP) : Trends of EU/ socio-demographics
• Volume C: Country/socio-demographics ---- Researchers may also contact GESIS - Leibniz Institute for the Social Sciences: https://www.gesis.org/eurobarometer

The employment expectations indicator (EEI) is a composite indicator produced by the Directorate General for Economic and Financial Affairs (DG ECFIN) of the European Commission. It summarises managers’ employment plans in the four surveyed business sectors (industry, services, retail trade, construction) and thus provides a timely indication of changes in expected dependent employment at Member states, EU and euro area levels. The indicator is constructed as a weighted average of the employment expectations of managers in all four surveyed business sectors. Once the weighted average of all four standardised balance series is computed, the resulting time-series is scaled to have a long-term mean of 100 and a standard deviation of 10. Values greater than 100 indicate that managers’ employment expectations are high by historical standards, while the opposite holds true for values below 100. Assuming approximate normality, the imposed standard deviation of 10 implies that in about 68% of the cases the EEI will be within the range of 90 to 110. Data are seasonally adjusted (SA). Further details on the construction of the EEI can be found in the user guide of the Joint Harmonised EU Programme of Business and Consumer Surveys. Source: DG ECFIN

Every year, the City of Cambridge’s Economic Development Division conducts a customer intercept study at a different commercial district. The results of this study are provided in this dataset to facilitate year-over-year and square-by-square analysis.

This data has been scrubbed of ZIP codes to prevent any respondents from being identified. The customer intercept survey is slightly altered each year for the specific district in consideration, so the exact wording of questions and the questions asked are not necessarily consistent from year to year.

If a question was not asked in a given district’s survey, “[Question Not Asked In This District's Survey]” is listed as the value. A blank cell indicates that the respondent did not answer that question, although it was asked.

In many questions, such as mode of transit, participants were asked to give one answer but often filled in more than one. On surveys after 2014, we captured all of their responses, rather than just the one.

All of the final reports developed from this data are available here: http://www.cambridgema.gov/CDD/econdev/aboutcambridge

The results of a survey of business customers of the Civil Service was published in January 2017. The purpose of the survey was to assess the levels of satisfaction with, and perceptions of, the services provided by Civil Service Departments and major Offices (not including the wider Public Service). The survey was carried out to meet a commitment in the Government’s Public Service Reform Plan 2014-2016 to “run regular surveys of civil service customers to more fully understand user experiences, expectations and requirements”. It also demonstrates the Civil Service’s commitment to improving the quality of service delivery to business customers at a central level (Departments and Offices are still expected to conduct their own customer consultation processes/surveys). The survey was undertaken by Perceptive Insight on behalf of the Department of Public Expenditure & Reform.

This report analyses trends in the consumer sentiment index. The consumer sentiment index is quantified by averaging five sub-indexes that are indicators of consumer confidence. These five indicators are: the household financial situation over the last year, the household financial situation over the coming year; the anticipated economic conditions over the coming year; the anticipated economic conditions over the next five years; and the buying conditions for major household items. A reading of 100 in each sub-index means that the number of positive responses is equal to the number of negative responses. The data for this report is sourced from the monthly ANZ-Roy Morgan New Zealand Survey of Consumer Confidence and is measured in index points. This report uses the average of monthly index values over each financial year.

The Consumer Confidence Index is calculated by The Conference Board using a monthly survey. The survey includes questions related to household finances, business conditions, employment, income and economic outlook. The values presented in this report are annual figures, derived from equally weighted monthly averages.

Capacity Utilization Rate: sa data was reported at 76.800 % in Sep 2018. This records a decrease from the previous number of 77.800 % for Jun 2018. Capacity Utilization Rate: sa data is updated quarterly, averaging 76.900 % from Mar 2007 (Median) to Sep 2018, with 47 observations. The data reached an all-time high of 83.800 % in Mar 2007 and a record low of 62.500 % in Jun 2009. Capacity Utilization Rate: sa data remains active status in CEIC and is reported by European Commission's Directorate-General for Economic and Financial Affairs. The data is categorized under Global Database’s Turkey – Table TR.B030: Harmonised Business and Consumer Survey: Capacity Utilization Rate: Seasonally Adjusted: by Industry.

Capacity Utilization Rate: sa: Mfg: Others data was reported at 64.000 % in Sep 2018. This records a decrease from the previous number of 64.400 % for Jun 2018. Capacity Utilization Rate: sa: Mfg: Others data is updated quarterly, averaging 65.800 % from Mar 2007 (Median) to Sep 2018, with 47 observations. The data reached an all-time high of 89.900 % in Dec 2007 and a record low of 57.200 % in Sep 2009. Capacity Utilization Rate: sa: Mfg: Others data remains active status in CEIC and is reported by European Commission's Directorate-General for Economic and Financial Affairs. The data is categorized under Global Database’s Turkey – Table TR.B030: Harmonised Business and Consumer Survey: Capacity Utilization Rate: Seasonally Adjusted: by Industry.

The Survey of Consumer Attitudes and Behavior series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. This type of information is essential for forecasting changes in aggregate consumer behavior. Since the late 1940s, these surveys have been produced quarterly through 1977 and monthly thereafter. Each monthly survey probes a different aspect of consumer confidence. Open-ended questions are asked concerning evaluations and expectations about personal finances, employment, price changes, the national business climate, present market conditions for the the purchasing of houses, automobiles, personal computers, and other durables, familiarity with and expected use of the Internet, and information about family and company vehicles. Demographic information includes race, ethnic origin, sex, age, education, marital status, and household size and income.

The Survey of Consumer Finances (SCF) dataset, provided by the Federal Reserve, offers comprehensive insights into the financial condition of U.S. households. This dataset is invaluable for researchers, policymakers, and analysts interested in understanding consumer behavior, wealth distribution, and economic trends in the United States.

The SCF dataset includes detailed information on household income, assets, liabilities, and various demographic characteristics. It is collected every three years and serves as a crucial resource for analyzing the financial well-being of American families.

Key Features: Income Data: Information on various sources of income, including wages, investments, and government assistance. Asset Ownership: Detailed accounts of household assets, such as real estate, retirement accounts, stocks, and other investments. Liabilities:Comprehensive details on household debts, including mortgages, credit card debts, and student loans. Demographics: Data covering age, education, race, and family structure, allowing for nuanced analysis of financial trends across different segments of the population.

Use Cases: Economic research and analysis, Policy formulation and assessment, Understanding wealth inequality, Consumer behavior studies

Citing the Dataset:

When using this dataset in your research, please ensure to cite the Federal Reserve Board and the SCF as the original source.

Note: The dataset is intended for educational and research purposes. Users are encouraged to adhere to ethical guidelines when analyzing and interpreting the data.

Market researchers investigate clients' target markets' behaviour, values and opinions, providing insights that allow them to tailor their products, services and marketing. Researchers rely on high European research and development expenditure to fuel demand for market research. Increased digitalisation has opened new doors for market research providers while intensifying competition. Artificial intelligence is increasingly important in analysing, identifying and generating research insights from social media posts using a flood of data. Meanwhile, digital surveys have allowed research companies to expand their outreach, save resources and costs and often attain more accurate and comprehensive insights for clients. Over the five years through 2024, industry revenue is expected to contract at a compound annual rate of 3.6% to €27.2 billion. The COVID-19 outbreak and ensuring low business sentiment took a toll on market research budgets. A sharp contraction in business sentiment squeezed corporate profit, discouraging companies from investing in research and development activities and negatively affecting professional research providers in 2022. A greater availability of data and alternative research methods means that researchers are competing more and more with in-house research departments. In 2024, industry revenue is expected to drop by 3.1% as consumers lower their private consumption expenditure, reducing consumer research activity. Over the five years through 2029, industry revenue is forecast to climb at a compound annual rate of 2.9% to reach €31.4 billion. Over the coming years, market research companies will face higher external competition from technology specialists leveraging insights internally, constraining revenue growth. Nonetheless, researchers will benefit from increasing online advertising activity. Those incorporating advanced data analytics systems and digital market research technology will remain competitive and benefit from greater digitalisation. Smart mobile surveys will also become an invaluable tool for consumer research companies.