Consumer Confidence in China increased to 88 points in May from 87.80 points in April of 2025. This dataset provides - China Consumer Confidence - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In May 2025, the index for consumer confidence in China ranged at ** points, up from **** points in the previous month. The index dropped considerably in the first half of 2022 and performed a sideways movement during 2023 and 2024. Consumer confidence Index The consumer confidence index (CCI), also called Index of Consumer Sentiment (ICS) is a commonly used indicator to measure the degree of economic optimism among consumers. Based on information about saving and spending activities of consumers, changes in business climate and future spending behavior are being projected. The CCI plays an important role for investors, retailers, and manufacturers in their decision-making processes. However, measurement of consumer confidence varies strongly from country to country. As consumers need time to react to economic changes, the CCI tends to lag behind other indicators like the consumer price index (CPI) and the producer price index (PPI). Development in China As shown by the graph at hand, confidence among Chinese consumers picked up since mid of 2016. In October 2017, the CCI hit a record value of 127.6 index points and entered into a sideward movement. Owing to a relative stability in GDP growth, a low unemployment rate, and a steady development of disposable household income, Chinese consumers gained more confidence in the state of the national economy. Those factors also contribute to the consumers’ spending power, which was reflected by a larger share of consumption in China’s GDP. After the outbreak of the coronavirus pandemic, consumer confidence dropped quickly in the beginning of 2020, but started to recover in the second half of the year, leading to a v-shaped movement of the index in 2020.

Graph and download economic data for Consumer Opinion Surveys: Composite Consumer Confidence for China (CSCICP02CNM460S) from Jan 1990 to Apr 2025 about consumer sentiment, composite, China, and consumer.

The Westpac MNI China Consumer Sentiment Index went up to 116.6 in December of 2016 from 114.9 in November, driven by an increase in the indices of current personal finances (+2.8 percent to 113.0, the highest since May 2014) and propensity to save. At the same time, consumers showed concerns about the 2017 outlook for jobs. This dataset provides - China Mni Consumer Sentiment- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Composite Leading Indicators: Composite Consumer Confidence Amplitude Adjusted for China (CSCICP03CNM665S) from Jan 1990 to Dec 2023 about consumer sentiment, composite, China, and consumer.

Key information about China Consumer Confidence Growth

• China Consumer Confidence dropped by 0.7 % Point in Feb 2025, compared with a decrease of 1.4 % Point in the previous month.
• China Consumer Confidence: YoY Change is updated monthly, available from Jan 1991 to Feb 2025, averaged at 0.0 % Point.
• The data reached an all-time high of 16.7 % Point in Oct 2017 and a record low of -35.0 % Point in May 2022.
• In the latest reports, Retail Sales of China grew 12.7 % YoY in May 2023.

Hong Kong Index of Consumer Sentiment data was reported at 91.200 Jan2000=100 in Sep 2017. This records an increase from the previous number of 89.800 Jan2000=100 for Jun 2017. Hong Kong Index of Consumer Sentiment data is updated quarterly, averaging 86.400 Jan2000=100 from Mar 2000 (Median) to Sep 2017, with 71 observations. The data reached an all-time high of 116.900 Jan2000=100 in Jun 2007 and a record low of 55.900 Jan2000=100 in Sep 2001. Hong Kong Index of Consumer Sentiment data remains active status in CEIC and is reported by Chinese University of Hong Kong. The data is categorized under Global Database’s Hong Kong SAR – Table HK.H023: Survey of Consumer Confidence and Sentiment (Discontinued). Figure for January 2018 is 98.9.

According to Ipsos Consolidated Economic Indicators based on monthly surveys conducted by Ipsos, the Consumer Confidence Index for China ranged at **** points in March 2023, up from **** points in the previous month. In comparison, the Consumer Confidence Index for the United States stood at **** points in March 2023.

China Consumer Confidence: Current Index data was reported at 73.178 Index in Jan 2023. This records an increase from the previous number of 72.959 Index for Dec 2022. China Consumer Confidence: Current Index data is updated monthly, averaging 62.801 Index from Mar 2010 (Median) to Jan 2023, with 155 observations. The data reached an all-time high of 78.438 Index in Nov 2018 and a record low of 45.646 Index in Jun 2012. China Consumer Confidence: Current Index data remains active status in CEIC and is reported by Ipsos Group S.A.. The data is categorized under Global Database’s China – Table CN.IPSOS: Consumer Confidence Survey.

Key information about China Consumer Confidence: Net Balance

• China Consumer Confidence: Net Balance recorded a drop of 5.1 % Point in Mar 2023, compared with a drop of 5.3 % points in the previous month.
• China Consumer Confidence: Net Balance data is updated monthly, available from Jan 1990 to Mar 2023, with an averaged 10.1 % points.
• The data reached an all-time high of 27.0 % in Feb 2021 and a record low of -14.5 % in Nov 2022.

• In the latest reports, Retail Sales of China grew 12.7 % YoY in May 2023.
• China Consumer Confidence dropped by 18.3 % Point in Mar 2023.
• China Annual Household Income per Capita reached 4,805.9 USD in Dec 2013.
• China Annual Household Expenditure per Capita reached 4,515.3 USD in Dec 2022.
• Car Sales of China recorded 2,381,614.0 units in May 2023, representing a growth of 27.9 %.

A survey conducted at the end of 2024 in China shows that consumers from *******and *******cities were more optimistic than those living elsewhere in the country, with ***percent of respondents there expressing confidence in the economy. In Comparison, only ***percent of ******respondents were economically optimistic. Notably, the Generation Z was the most confident age group across all city tiers.

Im April 2025 liegt der Indexwert für das Verbrauchervertrauen in China bei rund **** Punkten. Die Statistik zeigt den Index für das Verbrauchervertrauen in China von April 2021 bis April 2025. Index für Verbrauchervertrauen (Consumer Confidence Index) Indizes für das nationale Verbrauchervertrauen zählen zu den wichtigsten wirtschaftlichen Frühindikatoren. Der Index misst, mittels Befragung, die Konsumlaune von Privathaushalten, als Teil der Binnennachfrage. Lassen die befragten Privathaushalte die Absicht steigender Konsumausgaben erkennen, ist der Index positiv und steigt. In der Folge lässt sich ein erhöhter Absatz von Konsumgütern verzeichnen. Umgekehrt gibt ein sinkender Verbrauchervertrauensindex erste Hinweise für einen Rückgang in der Binnennachfrage und schließlich auch der Wirtschaftsleistung. Der Index für Verbrauchervertrauen in China (Consumer Confidence Index) basiert auf einer Befragung von rund *** Personen über ** Jahren aus ** Städten in ganz China. Ein Indexwert über *** bedeutet, dass die Verbraucher im Hinblick auf ihre wirtschaftliche Situation optimistisch sind; ein Wert unter ***, dass die Situation pessimistisch bewertet wird.

Baidu Search Index is a big data analytics tool developed by Baidu to track changes in keyword search popularity within its search engine. By analyzing trends in the Baidu Search Index for specific keywords, users can effectively monitor public interest in topics, companies, or brands.

As an ecosystem partner of Baidu Index, Datago has direct access to keyword search index data from Baidu's database, leveraging this information to build the BSIA-Consumer. This database encompasses popular brands that are actively searched by Chinese consumers, along with their commonly used names. By tracking Baidu Index search trends for these keywords, Datago precisely maps them to their corresponding publicly listed stocks.

The database covers over 1,100 consumer stocks and 3,000+ brand keywords across China, the United States, Europe, and Japan, with a particular focus on popular sectors like luxury goods and vehicles. Through its analysis of Chinese consumer search interest, this database offers investors a unique perspective on market sentiment, consumer preferences, and brand influence, including:

• Brand Influence Tracking – By leveraging Baidu Search Index data, investors can assess the level of consumer interest in various brands, helping to evaluate their influence and trends within the Chinese market.

• Consumer Stock Mapping – BSIA-consumer provides an accurate linkage between brand keywords and their associated consumer stocks, enabling investor analysis driven by consumer interest.

• Coverage of Popular Consumer Goods – BSIA-consumer focuses specifically on trending sectors like luxury goods and vehicles, offering valuable insights into these industries.

• Coverage: 1000+ consumer stocks

• History: 2016-01-01

• Update Frequency: Daily

Bankcard Consumer Confidence Index data was reported at 91.990 % in Jan 2020. This records an increase from the previous number of 91.980 % for Dec 2019. Bankcard Consumer Confidence Index data is updated monthly, averaging 86.460 % from Jan 2010 (Median) to Jan 2020, with 121 observations. The data reached an all-time high of 91.990 % in Jan 2020 and a record low of 78.820 % in Jul 2016. Bankcard Consumer Confidence Index data remains active status in CEIC and is reported by China UnionPay. The data is categorized under China Premium Database’s Household Survey – Table CN.HB: Bankcard Consumer Confidence Index: China UnionPay.

According to a survey conducted at the end of 2024, the Generation * was the most optimistic generation among Chinese consumers, with around ** percent of respondents within this age group saying they were economically confident. By comparison, only ** percent of respondents aged between 26 and 41 (the Millennials) voiced their confidence in the economy.

In this paper, we introduce the mixed-frequency data model (MIDAS) to China’s insurance demand forecasting. We select the monthly indicators Consumer Confidence Index (CCI), China Economic Policy Uncertainty Index (EPU), Consumer Price Index (PPI), and quarterly indicator Depth of Insurance (TID) to construct a Mixed Data Sampling (MIDAS) regression model, which is used to study the impact and forecasting effect of CCI, EPU, and PPI on China’s insurance demand. To ensure forecasting accuracy, we investigate the forecasting effects of the MIDAS models with different weighting functions, forecasting windows, and a combination of forecasting methods, and use the selected optimal MIDAS models to forecast the short-term insurance demand in China. The experimental results show that the MIDAS model has good forecasting performance, especially in short-term forecasting. Rolling window and recursive identification prediction can improve the prediction accuracy, and the combination prediction makes the results more robust. Consumer confidence is the main factor influencing the demand for insurance during the COVID-19 period, and the demand for insurance is most sensitive to changes in consumer confidence. Shortly, China’s insurance demand is expected to return to the pre-COVID-19 level by 2023Q2, showing positive development. The findings of the study provide new ideas for China’s insurance policymaking.

CWT plots comparison of the COVID-19 and the GFC.

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.

The Chinese luxury goods market, a significant global player, is experiencing robust growth, driven by a burgeoning affluent population with increasing disposable income and a strong aspiration for luxury brands. The market's expansion is fueled by several key factors: a rising middle class actively seeking high-end products, the increasing popularity of e-commerce platforms providing convenient access to luxury goods, and a shift in consumer preferences towards experiences and personalization. While international brands dominate the market, a growing number of domestic Chinese luxury brands are emerging, challenging the established players and catering to the unique tastes and preferences of the local consumers. Government policies promoting domestic consumption and tourism further contribute to the market’s dynamism. The segmentation within the market reveals a strong preference for clothing and apparel, followed by footwear and accessories, indicating a consumer base that values both high-quality everyday items and statement pieces. The online distribution channel is rapidly gaining traction, mirroring the broader global trend of e-commerce adoption within the luxury sector. Growth is expected to be particularly strong in tier-1 and tier-2 cities, where disposable incomes are rising most rapidly. However, potential challenges exist, including macroeconomic uncertainties and evolving consumer sentiments influenced by global events and shifts in brand loyalty. This requires brands to maintain agile strategies focused on delivering exceptional customer experiences and building lasting brand relationships. The forecast for the Chinese luxury goods market projects continued expansion, exceeding expectations in certain segments. The projected CAGR of 4.60% suggests a consistent upward trajectory through 2033. However, the rate of growth may fluctuate due to factors like global economic conditions and shifts in consumer spending habits. While the current dominance of established international luxury houses is undeniable, the successful integration of digital marketing strategies and a greater understanding of the evolving preferences of Chinese consumers will be critical for success in this competitive landscape. This includes adapting product offerings, marketing messages, and overall brand experiences to resonate with the unique cultural context and values prevalent in China. The key to sustained growth lies in a strategic blend of international brand recognition, adaptation to local preferences, and the utilization of digital channels to effectively reach a vast and increasingly sophisticated consumer base. Recent developments include: In January 2022, LVMH has increased the raft of brands that have joined up with Chinese e-commerce giant JD.com as Givenchy launches its mini program on JD's marketplace. The mini-programs enable the brands to tap into the evergreen young Chinese luxury consumer base., In January 2022, Gucci launched its Gucci Tiger collection which includes Gucci T-shirts with graphic tiger head iconography and the phrase Gucci Tiger, a cardigan, black pullover, and a sports jacket with contrasting Gucci-navy, red and white sleeves, and cuffs., In May 2021, Prada innovated retail in china by the launch of a pop-up store featuring Garden, for its latest Outdoor collection at Rong Zhai in Shanghai. The brand's outdoor selection, includes hammocks, blankets, cushions, woven picnic baskets, hats, and bags.. Notable trends are: Emergence of E-commerce Channels.

Uniqlo faces consumer boycott threats in China due to CEO's Xinjiang cotton sourcing remarks, highlighting geopolitical tensions and ethical sourcing challenges in retail.