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

France Consumer Survey: sa: General Economic Situation: Next 12 Mos data was reported at -30.246 % Point in Oct 2018. This records an increase from the previous number of -34.871 % Point for Sep 2018. France Consumer Survey: sa: General Economic Situation: Next 12 Mos data is updated monthly, averaging -26.901 % Point from Jan 1987 (Median) to Oct 2018, with 382 observations. The data reached an all-time high of 17.101 % Point in Jul 2000 and a record low of -65.687 % Point in Jun 2013. France Consumer Survey: sa: General Economic Situation: Next 12 Mos data remains active status in CEIC and is reported by French National Institute for Statistics and Economic Studies. The data is categorized under Global Database’s France – Table FR.H025: Consumer Survey.

FY22 Annual Customer Service Report Maryland Department of Planning

During a 2024 global survey, approximately 45 percent of responding consumers reported telling their friends or family about a bad experience with a brand, while 32 percent sent feedback directly to the company. Three years earlier, those shares stood at about 50 and 40 percent, respectively. Meanwhile, the share of respondents who said they did not tell anyone about the bad experience rose from less than 18 percent in 2021 to 24 percent in 2024.

The Commercial District Assessment Customer Intercept survey collects data about a commercial district consumer characteristics. Understanding current consumer characteristics improves knowledge of how visitors and residents utilize the district, and how they would like the district to evolve in the future. Data is collected annually in one or more commercial districts by the Community Development Department. In 2017 the survey changed format from the previous customer intercept survey, based on recommendations from the City’s Retail Strategy Report. For past Customer Intercept Data please refer to the “Customer Intercept Survey Results” open data set.

This statistic shows the different types of stationary stores where Americans did their shopping in the past 12 months in 2024. The results were sorted by income tier. As of March 2024, 52 percent of respondents who stated their income was high said they had shopped at a pharmacy store in the last 12 months. The survey was conducted among 8,217 respondents. Access millions of exclusive survey results with Statista Consumer Insights.

France Consumer Survey: sa: Savings Intentions: Next 12 Mos data was reported at 5.226 % Point in Oct 2018. This records a decrease from the previous number of 5.714 % Point for Sep 2018. France Consumer Survey: sa: Savings Intentions: Next 12 Mos data is updated monthly, averaging 17.552 % Point from Jan 1987 (Median) to Oct 2018, with 382 observations. The data reached an all-time high of 39.028 % Point in Jun 1995 and a record low of -10.502 % Point in Oct 2008. France Consumer Survey: sa: Savings Intentions: Next 12 Mos data remains active status in CEIC and is reported by French National Institute for Statistics and Economic Studies. The data is categorized under Global Database’s France – Table FR.H025: Consumer Survey.

This report is part of the GlobalData Case Study report series, which analyzes trends explored on GlobalData's TrendSights map. The consumer insight offered throughout the report is drawn from GlobalData's global consumer survey, a quarterly survey designed to capture consumer sentiment as it evolves throughout the year. Read More

The Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families' balance sheets, pensions, income, and demographic characteristics.

Distribution of participants among consumer groups.

The CTM (Communications & Technology Management) Customer Satisfaction Survey is completed by City Employees once yearly and used by CTM to tracker deliverables and performance measures. For more information on CTM, please visit https://www.austintexas.gov/department/information-technology

This dataset holds responses from surveys completed 2020 - Present with comments removed. NOTE: No survey was conducted in the year 2023.

GlobalData is carrying out weekly consumer surveys in 11 countries between 25th March and 31st May 2020, to track consumer sentiment and shopping behavior during the Coronavirus (COVID19) pandemic. The sample size is 500 respondents per country, per week. Read More

The Food and You survey provides information about reported behaviours, attitudes and knowledge relating to food issues. It provides data on people’s reported food purchasing, storage, preparation, consumption and factors that may affect these, such as eating habits, influences on where respondents choose to eat out and experiences of food poisoning.

Market Research companies have benefited from research and development (R&D) expenditure growth as companies develop new products to satisfy consumer demand. Downstream companies continue to rely on market research to create new products and campaigns that fit ever-changing consumer preferences. As companies strive to enhance consumer-centric strategies amid increased consumer spending, demand for tailored market research solutions has surged. High corporate profit levels have enabled businesses to invest in research and development. The digital shift has further transformed the landscape, with companies pioneering new research tools to tap into the vast potential of big data to enhance accessibility and participation. These trends have led to revenue growing at a CAGR of 3.9% to $36.6 billion over the next five years, including a 2.4% gain in 2025 alone. Consumers' and advertisers' growing reliance on the internet has led to new metrics market researchers can use to better understand consumers. These have allowed new companies to enter the industry and driven providers to adjust services and implement new technologies. The rising use of social media has also contributed to the growing demand for market research. These technological advancements improved data collection and analysis methods, offering actionable insights that helped companies refine marketing strategies and develop better products. New opportunities continue to drive revenue growth, but expansions to services and onboarding of new technology have cut into industry profit. Companies will strengthen their R&D budgets as economic conditions improve, further driving demand for advanced market research tools. The proliferation of online commerce and smart technologies will give researchers unprecedented access to consumer data. Technological developments, such as artificial intelligence (AI), are poised to create new metrics based on human reactions, which companies can leverage to better understand consumer behavior and preferences. These new technologies will develop new market research opportunities. Access to these metrics, however, will lead to tightening data privacy regulations. There's a growing emphasis on ethical practices, transparency and data security. This will shape consumer trust and industry standards, creating new opportunities and challenges in a rapidly evolving marketplace. Revenue is poised to grow at a CAGR of 2.2% to $40.9 billion through the end of 2030.

Abstract

The Consumer Expenditure Survey (CE) program provides a continuous and comprehensive flow of data on the buying habits of American consumers. These data are used widely in economic research and analysis, and in support of revisions of the Consumer Price Index. To meet the needs of users, the Bureau of Labor Statistics (BLS) produces population estimates for consumer units (CUs) of average expenditures in news releases, reports, issues, and articles in the Monthly Labor Review. Tabulated CE data are also available on the Internet and by facsimile transmission (See Section XV. APPENDIX 4). The microdata are available online at http://www/bls.gov/cex/pumdhome.htm.

These microdata files present detailed expenditure and income data for the Diary component of the CE for 2002. They include weekly expenditure (EXPD) and annual income (DTBD) files. The data in EXPD and DTBD files are categorized by a Universal Classification Code (UCC). The advantage of the EXPD and DTBD files is that with the data classified in a standardized format, the user may perform comparative expenditure (income) analysis with relative ease. The FMLD and MEMD files present data on the characteristics and demographics of CUs and CU members. The summary level expenditure and income information on the FMLD files permits the data user to link consumer spending, by general expenditure category, and household characteristics and demographics on one set of files.

Estimates of average expenditures in 2002 from the Diary survey, integrated with data from the Interview survey, are published in Consumer Expenditures in 2002. A list of recent publications containing data from the CE appears at the end of this documentation.

The microdata files are in the public domain and with appropriate credit, may be reproduced without permission. A suggested citation is: "U.S. Department of Labor, Bureau of Labor Statistics, Consumer Expenditure Survey, Diary Survey, 2002".

Analysis unit

Consumer Units

Kind of data

Sample survey data [ssd]

Sampling procedure

Samples for the CE are national probability samples of households designed to be representative of the total U. S. civilian population. Eligible population includes all civilian noninstitutional persons. The first step in sampling is the selection of primary sampling units (PSUs), which consist of counties (or parts thereof) or groups of counties. The set of sample PSUs used for the 2002 sample is composed of 105 areas. The design classifies the PSUs into four categories: • 31 "A" certainty PSUs are Metropolitan Statistical Areas (MSA's) with a population greater than 1.5 million. • 46 "B" PSUs, are medium-sized MSA's. • 10 "C" PSUs are nonmetropolitan areas that are included in the CPI. • 18 "D" PSUs are nonmetropolitan areas where only the urban population data will be included in the CPI.

The sampling frame (that is, the list from which housing units were chosen) for the 2002 survey is generated from the 1990 Population Census 100-percent-detail file. The sampling frame is augmented by new construction permits and by techniques used to eliminate recognized deficiencies in census coverage. All Enumeration Districts (ED's) from the Census that fail to meet the criterion for good addresses for new construction, and all ED's in nonpermit-issuing areas are grouped into the area segment frame. To the extent possible, an unclustered sample of units is selected within each PSU. This lack of clustering is desirable because the sample size of the Diary Survey is small relative to other surveys, while the intraclass correlations for expenditure characteristics are relatively large. This suggests that any clustering of the sample units could result in an unacceptable increase in the within-PSU variance and, as a result, the total variance. Each selected sample unit is requested to keep two 1-week diaries of expenditures over consecutive weeks. The earliest possible day for placing a diary with a household is predesignated with each day of the week having an equal chance to be the first of the reference week. The diaries are evenly spaced throughout the year. During the last 6 weeks of the year, however, the Diary Survey sample is supplemented to twice its normal size to increase the reporting of types of expenditures unique to the holidays.

STATE IDENTIFIER Since the CE is not designed to produce state-level estimates, summing the consumer unit weights by state will not yield state population totals. A CU's basic weight reflects its probability of selection among a group of primary sampling units of similar characteristics. For example, sample units in an urban nonmetropolitan area in California may represent similar areas in Wyoming and Nevada. Among other adjustments, CUs are post-stratified nationally by sex-age-race. For example, the weights of consumer units containing a black male, age 16-24 in Alabama, Colorado, or New York, are all adjusted equivalently. Therefore, weighted population state totals will not match population totals calculated from other surveys that are designed to represent state data. To summarize, the CE sample was not designed to produce precise estimates for individual states. Although state-level estimates that are unbiased in a repeated sampling sense can be calculated for various statistical measures, such as means and aggregates, their estimates will generally be subject to large variances. Additionally, a particular state-population estimate from the CE sample may be far from the true state-population estimate.

INTERPRETING THE DATA Several factors should be considered when interpreting the expenditure data. The average expenditure for an item may be considerably lower than the expenditure by those CUs that purchased the item. The less frequently an item is purchased, the greater the difference between the average for all consumer units and the average of those purchasing. (See Section V.B. for ESTIMATION OF TOTAL AND MEAN EXPENDITURES). Also, an individual CU may spend more or less than the average, depending on its particular characteristics. Factors such as income, age of family members, geographic location, taste and personal preference also influence expenditures. Furthermore, even within groups with similar characteristics, the distribution of expenditures varies substantially. Expenditures reported are the direct out-of-pocket expenditures. Indirect expenditures, which may be significant, may be reflected elsewhere. For example, rental contracts often include utilities. Renters with such contracts would record no direct expense for utilities, and therefore, appear to have no utility expenses. Employers or insurance companies frequently pay other costs. CUs with members whose employers pay for all or part of their health insurance or life insurance would have lower direct expenses for these items than those who pay the entire amount themselves. These points should be considered when relating reported averages to individual circumstances.

Mode of data collection

Computer Assisted Personal Interview [capi]

Sweden Consumer Survey: KI: Saving: Next 12 Months: Very Likely data was reported at 42.470 % in Jul 2018. This records a decrease from the previous number of 47.400 % for Jun 2018. Sweden Consumer Survey: KI: Saving: Next 12 Months: Very Likely data is updated monthly, averaging 39.220 % from Jan 1996 (Median) to Jul 2018, with 271 observations. The data reached an all-time high of 61.800 % in Jun 2016 and a record low of 26.300 % in Dec 1996. Sweden Consumer Survey: KI: Saving: Next 12 Months: Very Likely data remains active status in CEIC and is reported by National Institute of Economic Research. The data is categorized under Global Database’s Sweden – Table SE.H009: Consumer Survey: National Institute of Economic Research.

Global Consumer Standard Logic IC Market is segmented by geography

Abstract

The National Consumer Survey is a module of the National Integrated Survey of Households (NISH). Other modules of the programme for 1992 include the General Household Survey, the Labour Force Survey, the Family Planning Survey and the Rural Agricultural Sample Survey.

Geographic coverage

National

Analysis unit

Household

Kind of data

Sample survey data [ssd]

Sampling procedure

A Household Consumer Expenditure survey was launched in April 1992 on a monthly basis to last 12 months till March 1993. Each month's sample was expected to be small but pooling together the sample for a quarter, the sample would be large enough to provide estimates on national basis. Hence a quarterly release of the results was built into the survey design. Altogether a sample of 1,892 households was achieved for the April to June 1992 quarter, of which 1,017 were in the rural, 159 semi-urban and 716 in the urban areas. Results of the survey from the first quarter are available in the report provided under external resources.

Mode of data collection

Face-to-face [f2f]

When asked about "Drivers of digital video purchases", most Russian respondents pick "High image and sound quality" as an answer. 45 percent did so in our online survey in 2022.The Global survey is part of Statista Consumer Insights, providing you with exclusive consumer survey results on more than 500 industries and topics.

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.