Consumer Confidence in the United States decreased to 57.90 points in March from 64.70 points in February of 2025. This dataset provides the latest reported value for - United States Consumer Sentiment - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The Consumer Sentiment Index in the United States stood at 64.7 in January 2025, an increase from the previous month. The index is normalized to a value of 100 in December 1964 and based on a monthly survey of consumers, conducted in the continental United States. It consists of about 50 core questions which cover consumers' assessments of their personal financial situation, their buying attitudes and overall economic conditions.

Access global Consumer Sentiment Data with Success.ai. Includes psychographic profiles, interest data, and sentiment trends for targeted marketing campaigns. Continuously updated for accuracy and relevance. Best price guaranteed.

The Bag Brand Sentiment Dataset is a collection of tweet data from Twitter that focuses on several popular designer bag brands. The dataset includes tweets related to seven specific keywords: "gucci bag", "chanel bag", "dior bag", "louis vuitton bag", "prada bag", "hermes bag", and "supreme bag".

The data was obtained using the Twitter API, which is a tool used to extract data from Twitter. The dataset consists of a total of 2881 tweets that were obtained through Twitter crawling. Before the dataset was compiled, a pre-processing process was conducted to remove duplicate data, ensuring that the dataset contains only unique tweets.

The Bag Brand Sentiment Dataset is useful for analyzing consumer sentiment towards popular designer bag brands. It can be used by marketers to gain insights into consumer preferences and attitudes towards specific brands. Additionally, researchers can use the dataset to study trends in consumer sentiment towards luxury goods or to explore how social media platforms are used to discuss designer bag brands.

United States Consumer Sentiment Index (CSI) data was reported at 97.500 1966=100 in Dec 2018. This stayed constant from the previous number of 97.500 1966=100 for Nov 2018. United States Consumer Sentiment Index (CSI) data is updated monthly, averaging 89.600 1966=100 from Jan 1978 (Median) to Dec 2018, with 492 observations. The data reached an all-time high of 112.000 1966=100 in Jan 2000 and a record low of 51.700 1966=100 in May 1980. United States Consumer Sentiment Index (CSI) data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s United States – Table US.H025: Consumer Sentiment Index.

Our dataset helps to uncover valuable insights and trends that shape markets, products, and consumer preferences worldwide.

1. Access a wide range of consumer reviews spanning diverse industries, products, and services, giving you massive data coverage on the consumer sentiment landscape.
2. Analyze ratings provided by millions of consumers, allowing you to assess the popularity, satisfaction levels, and performance of products and services.
3. Global Sentiment Insights to identify trends, sentiment shifts, and emerging market preferences.

InfoTrie Consumer Reviews Data is not just data; it's a window to know the target audience & make informed decisions, develop targeted strategies, and stay ahead of the competition.

Empower your market research, enhance your product development, and refine your marketing strategies with the invaluable insights offered by InfoTrie Consumer Reviews Data. Whether you're a business looking to understand customer preferences or a researcher aiming to uncover the latest trends, this dataset is your gateway to consumer sentiment intelligence.

Request access now and harness the power of consumer insights.

More information on : https://infotrie.com/e-commerce-analytics/

United States CSI: Home Buying Conditions data was reported at 140.000 1966=100 in May 2018. This records a decrease from the previous number of 144.000 1966=100 for Apr 2018. United States CSI: Home Buying Conditions data is updated monthly, averaging 149.000 1966=100 from Jan 1978 (Median) to May 2018, with 485 observations. The data reached an all-time high of 182.000 1966=100 in Dec 1998 and a record low of 37.000 1966=100 in Nov 1981. United States CSI: Home Buying Conditions data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H036: Consumer Sentiment Index: Home Buying and Selling Conditions. The question was: Generally speaking, do you think now is a good time or a bad time to buy a house?

Graph and download economic data for Composite Leading Indicators: Composite Consumer Confidence Amplitude Adjusted for Euro Area (19 Countries) (CSCICP03EZM665S) from Jan 1973 to Jan 2024 about consumer sentiment, composite, Euro Area, Europe, and consumer.

This statistic displays the Primary Consumer Sentiment Index (PCSI) as measured by Thomson Reuters / Ipsos in Canada from August 2018 to August 2019. The monthly PCSI result is driven by the aggregation of the four, weighted, sub-indices:
Perceived current personal financial situations, perceived economic expectations, perceived investment climate, and job security. In August 2019, the Consumer Confidence Index in Canada was at 55.6 percentage points.

United States - University of Michigan: Consumer Sentiment was 71.70000 Index 1966:Q1=100 in January of 2025, according to the United States Federal Reserve. Historically, United States - University of Michigan: Consumer Sentiment reached a record high of 112.00000 in January of 2000 and a record low of 50.00000 in June of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - University of Michigan: Consumer Sentiment - last updated from the United States Federal Reserve on March of 2025.

Graph and download economic data for Consumer Opinion Surveys: Composite Consumer Confidence for China (CSCICP02CNM460S) from Jan 1990 to Dec 2024 about consumer sentiment, composite, China, and consumer.

United States CSI: Home Buying Conditions: Good Time: Prices Low data was reported at 14.000 % in May 2018. This records a decrease from the previous number of 15.000 % for Apr 2018. United States CSI: Home Buying Conditions: Good Time: Prices Low data is updated monthly, averaging 21.000 % from Feb 1978 (Median) to May 2018, with 467 observations. The data reached an all-time high of 74.000 % in May 2009 and a record low of 2.000 % in May 1979. United States CSI: Home Buying Conditions: Good Time: Prices Low data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H036: Consumer Sentiment Index: Home Buying and Selling Conditions. The question was: Generally speaking, do you think now is a good time or a bad time to buy a house? Responses to the query 'Why do you say so?'

WiserBrand's Comprehensive Customer Call Transcription Dataset: Tailored Insights

WiserBrand offers a customizable dataset comprising transcribed customer call records, meticulously tailored to your specific requirements. This extensive dataset includes:

User ID and Firm Name: Identify and categorize calls by unique user IDs and company names. Call Duration: Analyze engagement levels through call lengths. Geographical Information: Detailed data on city, state, and country for regional analysis. Call Timing: Track peak interaction times with precise timestamps. Call Reason and Group: Categorised reasons for calls, helping to identify common customer issues. Device and OS Types: Information on the devices and operating systems used for technical support analysis. Transcriptions: Full-text transcriptions of each call, enabling sentiment analysis, keyword extraction, and detailed interaction reviews. Our dataset is designed for businesses aiming to enhance customer service strategies, develop targeted marketing campaigns, and improve product support systems. Gain actionable insights into customer needs and behavior patterns with this comprehensive collection, particularly useful for Consumer Data, Consumer Behavior Data, Consumer Sentiment Data, Consumer Review Data, AI Training Data, Textual Data, and Transcription Data applications.

WiserBrand's dataset is essential for companies looking to leverage Consumer Data and B2B Marketing Data to drive their strategic initiatives in the English-speaking markets of the USA, UK, and Australia. By accessing this rich dataset, businesses can uncover trends and insights critical for improving customer engagement and satisfaction.

In September 2021, the consumer sentiment index in urban India stood at 51. Compared to the previous year in September 2020 the consumer sentiment was at 40 in urban India. This shows an increase in the propensity for consumption of India's urban population. Since the low of around 40 between April and September 2020, the index has just slightly recovered by around ten index points till September 2021. Compared to the rural consumer sentiment index it is not only shown that in urban India there has been a sharper decrease in the optimism to consume, but also that the recovery since the COVID-19 pandemic has set on later.

During the Ramadan Consumer Sentiment Survey of 2021, a third of the respondents from the Middle East and North Africa stated that they felt optimistic. In the same survey, 23 percent of respondents stated that they were worried.

This statistic displays the Primary Consumer Sentiment Index (PCSI) as measured by Thomson Reuters / Ipsos in the United States from August 2018 to August 2019. The monthly PCSI result is driven by the aggregation of the four, weighted, sub-indices:
Perceived current personal financial situations, perceived economic expectations, perceived investment climate, and job security. In August 2019, the PCSI in the United States stood at 60.6 percent.

P2P online lending platforms have been developing rapidly worldwide in recent years. This study seeks to explain platform users’ behaviour in different cultures. Specifically, this research aims to investigate the sentiment polarity of the posts in P2P online lending platforms and how it influences the quantity and quality of user reviews. Over 3000 online posts were collected from large online platforms in China and U.S. The findings indicate that in U.S. P2P online lending platforms, there are more reviews for negative-sentiment posts than those for positive-sentiment posts. In a collective culture such as China, there are more reviews in P2P online lending platforms for positive-sentiment posts, and platform participants tend to post strong sentiment information.

Graph and download economic data for Composite Leading Indicators: Composite Consumer Confidence Amplitude Adjusted for Major Five Asia Economies (CSCICP035AM665S) from Jan 1990 to Dec 2023 about Major 5 Asia, consumer sentiment, composite, and consumer.

Consumers in the United States from various age groups mostly considered that the current conditions were unfavorable for buying a home as of December 2022. Consumer sentiment steeply declined in 2021, amid surging house prices and increasing mortgage rates. Respondents aged 18 to 34 were the least positive, whereas respondents in the age group 55 and older had a slightly higher index score, suggesting they were slightly less pessimistic. The index value of 36 in this age group means there were 36 percent more more negative responses than positive ones.

United States CSI: Home Selling Conditions: Good Time: Prices Won't Go Up data was reported at 3.000 % in May 2018. This records an increase from the previous number of 1.000 % for Apr 2018. United States CSI: Home Selling Conditions: Good Time: Prices Won't Go Up data is updated monthly, averaging 1.000 % from Nov 1992 (Median) to May 2018, with 307 observations. The data reached an all-time high of 7.000 % in Sep 2006 and a record low of 0.000 % in Dec 2013. United States CSI: Home Selling Conditions: Good Time: Prices Won't Go Up data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H036: Consumer Sentiment Index: Home Buying and Selling Conditions. The question was: Generally speaking, do you think now is a good time or a bad time to sell a house? Responses to the query 'Why do you say so?'