This survey was undertaken to assess consumer sentiment and buying plans, as well as travel patterns, use of telephones, attitudes toward various forms of savings, and knowledge of changes in interest rates. Open-ended questions were asked concerning evaluations and expectations about price changes, employment, recession, and the national business and financial situation, as well as the effect of the world political situation on the national business situation. Variables on telephone use provide information on the number of phones in the household, frequency of calls, and arrangements made for phone use if the respondents had no phone. Variables on travels provide information on the number of business and non-business trips made by air, rail, bus, and car, distance of the trip, length of stay, and the advantages and disadvantages of the particular mode of travel. Other variables probe respondents' buying intentions for a house, automobiles, appliances, and other consumer durables, as well as their appraisals of present market conditions for purchasing these items. Additional variables provide information on respondents' perception of their financial well-being and their opinions of future financial prospects. Demographic items specify age, sex, race, marital status, education, occupation, income, home ownership, and length of stay in the community.

This survey was undertaken to assess consumer sentiment and buying plans, as well as purchase decisions for durable household goods. Open-ended questions were asked concerning evaluations and expectations about personal finances, employment, recession, price changes, the world political situation, and the national business situation. Additional variables probe respondents' buying intentions for a house, automobiles, appliances, and other consumer durables, and the respondents' appraisals of present market conditions for purchasing houses and other durables. Other questions were asked about respondents' assessments of their financial status relative to the previous year and in the immediate future, and their political party identification. Demographic variables provide information on age, sex, race, marital status, education, family income, and employment.

Introducing an international relations perspective into the literature on anti-immigrant attitudes, we hypothesize that immigrants from rival countries will be shunned and immigrants from allied countries preferred, especially by respondents who identify more strongly with the nation. We fielded a forced-choice conjoint experiment in 22 countries, whereby respondents chose between applicants for permanent resident status with randomized attributes. We identified rival and allied countries of origin for each surveyed country, with one such pair sharing a similar racial and cultural make-up as the majority of respondents, and one pair being more dissimilar. We find that discrimination against immigrants from rival states is so pronounced that it results in net preference for racially and culturally dissimilar immigrants. Since we fielded the surveys amidst the Russian invasion of Ukraine, we are able to leverage exogenous changes in the intensity of one rivalry, providing further evidence for the proposed mechanism.

Monthly Actual Data from September 1974. Covers: -Current condition index - Expectations index - Family finances last - 12 months - Family finances next - 12 months - Economic conditions - Next 12 months - Economic conditions - Next 5 years - Time to buy major household items.

  The survey is conduct monthly by telephone and the sample size is typically 1200 households. Each respondent is characterized by: gender, age, occupation, education, political party preference, home ownership, household income, and postcode. The Survey is used to compile the following Reports:
  -Westpac-Melbourne Institute Survey of Consumer Sentiment
  - Westpac-Melbourne Institute Survey of Consumer Sentiment: NSW, Vic., Qld, WA, SA.

Australia & States Australia: Monthly Actual Data from September 1974. Covers: - Consumer Sentiment Index - Australia

  States: Monthly Actual Data from January 1996. Covers:
  - Consumer Sentiment Index - NSW
  - Consumer Sentiment Index - Vic
  - Consumer Sentiment Index - Qld
  - Consumer Sentiment Index - WA
  - Consumer Sentiment Index - SA
  - Consumer Sentiment Index - Tas.
  The survey is conduct monthly by telephone and the sample size is typically 1200 households. Each respondent is characterized by: gender, age, occupation, education, political party preference, home ownership, household income, and postcode. The Survey is used to compile the following Reports:
  -Westpac-Melbourne Institute Survey of Consumer Sentiment.
  -Westpac-Melbourne Institute Survey of Consumer Sentiment: NSW, Vic., Qld, WA, SA.

Monthly Actual Data from January 1996.Covers: -Consumer Sentiment Index - Age 18-24, Age 25-44, Age over 45. -Consumer Sentiment Index - Live with children < 18, Does not live with child < 18. - Consumer Sentiment Index - Tenant, Mortgagee, Owned. - Consumer Sentiment Index - Coalition, ALP, Democrat, Others. - Consumer Sentiment Index - Manager & Professional, Paraprofessional & Trades, Sales & Clerical, Labourer & Operator, Retiree, Unemployed, Not working. - Consumer Sentiment Index - Male, Female. - Consumer Sentiment Index - Primary, Secondary, Trade, Tertiary. - Consumer Sentiment Index - Up to 20k, 20-40k, 40-60k, over 60k. The survey is conduct monthly by telephone and the sample size is typically 1200 households. Each respondent is characterized by: gender, age, occupation, education, political party preference, home ownership, household income, and postcode. The Survey is used to compile the following Reports. - Westpac-Melbourne Institute Survey of Consumer Sentiment. - Westpac-Melbourne Institute Survey of Consumer Sentiment: NSW, Vic., Qld, WA, SA.

Monthly Actual Data from January 1996. Covers: -Consumer Sentiment Index - Sydney -Consumer Sentiment Index - Melbourne -Consumer Sentiment Index - Other Capital Cities -Consumer Sentiment Index - Metro -Consumer Sentiment Index - Rural The survey is conduct monthly by telephone and the sample size is typically 1200 households. Each respondent is characterized by: gender, age, occupation, education, political party preference, home ownership, household income, and postcode. The Survey is used to compile the following Reports: - Westpac-Melbourne Institute Survey of Consumer Sentiment. - Westpac-Melbourne Institute Survey of Consumer Sentiment: NSW, Vic., Qld, WA, SA.

Online survey of Russian respondents aged over 18 and residing in Russian Federation (convenient sample recruited through the online marketplace panels) conducted from March 13 to March 21, 2024 on the eve and during Russian presidential elections. Sample size is 4,757.

The first wave of the Panel Study of Russian Public Opinion and Attitudes (PROPA), conducted between March 13 and March 21, 2024, offers a comprehensive insight into the political and economic sentiment among Russian citizens. The survey was run via an online survey involving 4,757 participants.

The participants, all Russian residents 18 years old and older, completed the survey in 22 minutes on average, with incentives such as gift certificates. The demographics is slightly skewed towards younger women. Respondents with higher education were over-represented in the sample due to the nature of the online survey method.

The survey covers the following topics: socio-economic characteristics and situation of the respondents, media consumption, political position in relation to the presidential elections and to the Russo-Ukrainian war, voting preferences and perceptions of electoral integrity as well as visions of Russia's future.

Datasets are in .csv and .sav formats. OpeningDataset is in .R format. Questionnaire is in .pdf format.

Though influential models of public opinion hold that group sentiments play an important role in shaping political beliefs, they often assume that group attitudes stem from socialization and are thus exogenous to politics. We challenge this assumption, arguing that group attitudes may themselves be the consequence of political views. Across three survey experiments that each uses a unique social group-issue pair, we consistently demonstrate that attitudes towards groups are influenced by information about the groups’ policy views. These findings persist even when accounting for potential partisan signaling. Altogether, these results show that group sentiments should not be regarded as wholly exogenous to policy concerns and suggest that the use of group-based heuristics can be consistent with instrumental models of public opinion.

In a survey conducted in 10 Southeast Asian countries in 2025, the majority of respondents from several countries in ASEAN (Association of Southeast Asian Nations) welcomed the growing regional political influence of the United States in the region. This sentiment was particularly common in Myanmar, as it was chosen by **** percent of the country's survey participants. In contrast, the majority of respondents from Indonesia, Thailand, Malaysia and Laos were worried about the growing political influence of the United States in the region.

Data and Stata code for replication. Abstract: This research note estimates an innovative state-level measure of antiimmigrant sentiment for use in future policy and behavioral studies. State governments are becoming increasingly active in adopting immigrant policies in the 2000s. Previous research highlights the role of public opinion, especially attitudes toward immigrants, in explaining policy priorities and outcomes. Unfortunately, most extant studies utilize political ideology or immigrant populations as rough proxies for public opinion. In this article, we estimate a reliable and valid measure of anti-immigrant sentiment at the state-level using survey aggregation with multilevel regression and poststratification (MRP) from 2004 to 2008. We compare our estimates of anti-immigrant sentiment to alternative measures of immigrant presence and political ideology in predicting multiple variations of state immigrant policies. Ultimately, we find theoretical and statistical advantages of using anti-immigrant sentiment over previous measures in predicting immigrant policies.

Techsalerator’s Location Sentiment Data for Uganda

Techsalerator’s Location Sentiment Data for Uganda offers an extensive collection of data that is crucial for businesses, researchers, and technology developers. This dataset provides deep insights into public sentiment across various locations in Uganda, enabling data-driven decision-making for development, marketing, and social research.

For access to the full dataset, contact us at info@techsalerator.com or visit Techsalerator Contact Us.

Techsalerator’s Location Sentiment Data for Uganda

Techsalerator’s Location Sentiment Data for Uganda delivers a comprehensive analysis of public sentiment across urban, rural, and industrial locations. This dataset is essential for businesses, government agencies, and researchers looking to understand the sentiment trends in different regions of Uganda.

Top 5 Key Data Fields

• Location of Data Capture – Identifies the geographic location where sentiment data was collected, enabling location-specific analysis of public perception.
• Sentiment Score – Provides a numerical representation of sentiment, with positive, negative, and neutral classifications, supporting sentiment analysis for public opinion research.
• Demographic Segmentation – Breaks down sentiment by key demographic factors such as age, gender, and occupation to uncover sentiment trends within specific groups.
• Time of Data Capture – Records the exact time and date of sentiment data collection, helping analyze variations in sentiment over different times of day or during specific events.
• Sentiment Source – Categorizes data sources such as social media posts, surveys, and customer feedback, to offer insights into the platform-specific sentiment.

Top 5 Sentiment Trends in Uganda

• Urban vs. Rural Sentiment – Variations in sentiment between urban centers like Kampala and rural areas, often revealing different priorities and perceptions on topics like infrastructure, education, and healthcare.
• Political Sentiment – Public sentiment around political events and figures, with insights into political stability, government policies, and public opinion on elections.
• Economic Sentiment – How Ugandans feel about economic conditions, employment opportunities, inflation, and business growth across different regions.
• Social Issues Sentiment – Public opinion on social issues such as gender equality, healthcare access, education, and human rights.
• Technology Adoption Sentiment – Increasing interest in digital technologies, mobile platforms, and internet access, reflecting sentiment on technological advancements and connectivity.

Top 5 Applications of Location Sentiment Data in Uganda

• Urban Development and Planning – Helps city planners and government bodies design better urban environments based on public sentiment toward infrastructure, traffic, and public services.
• Marketing and Consumer Insights – Brands use sentiment data to tailor marketing campaigns and improve customer engagement by understanding regional preferences and concerns.
• Policy and Governance – Governments and NGOs utilize sentiment data to shape policies that address public concerns and improve governance effectiveness.
• Social Research – Social researchers can analyze regional disparities in public opinion on issues like education, healthcare, and social justice.
• Crisis Management and Response – Sentiment data aids in understanding public reaction to crises like health emergencies or natural disasters, helping improve response strategies.

Accessing Techsalerator’s Location Sentiment Data

To obtain Techsalerator’s Location Sentiment Data for Uganda, contact info@techsalerator.com with your specific requirements. Techsalerator offers customized datasets based on requested fields, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields

• Location of Data Capture
• Sentiment Score
• Demographic Segmentation
• Time of Data Capture
• Sentiment Source
• Topic Categories
• Public Opinion on Government Policies
• Sentiment on Social Issues
• Regional Sentiment Trends
• Contact Information

For deep insights into public sentiment across Uganda, Techsalerator’s dataset is an invaluable resource for businesses, policymakers, and researchers.

Following a tumultuous year of social protests and the coronavirus pandemic, the 2020 Presidential Elections in the United States were more significant than ever. With such a wide platform and vast fan base, many athletes spoke out in favor of specific candidates or political parties. During an October 2020 survey in the United States, ** percent of Democrat respondents strongly agreed with the sentiment that athletes should be free to publicly express support for political parties.

Techsalerator’s Location Sentiment Data for Mauritania

Techsalerator’s Location Sentiment Data for Mauritania provides deep insights into how people perceive different locations across urban, rural, and industrial areas. This dataset is crucial for businesses, researchers, and policymakers aiming to understand sentiment trends across various regions in Mauritania.

For access to the full dataset, contact us at info@techsalerator.com or visit Techsalerator Contact Us.

Techsalerator’s Location Sentiment Data for Mauritania

Techsalerator’s Location Sentiment Data for Mauritania offers a structured analysis of public sentiment across cities, towns, and remote areas. This dataset is essential for market research, urban development, AI sentiment analysis, and regional planning.

Top 5 Key Data Fields

• Geographic Location – Provides the specific location of the sentiment data, enabling precise regional analysis.
• Sentiment Score – Measures public sentiment (positive, neutral, negative) towards locations based on social media, reviews, and surveys.
• Topic Categorization – Identifies key topics influencing sentiment, such as infrastructure, safety, economy, and tourism.
• Demographic Sentiment Insights – Breaks down sentiment trends by age, gender, and occupation for a detailed understanding of public opinion.
• Time-Based Sentiment Trends – Analyzes how sentiment fluctuates over time due to economic, social, or political events.

Top 5 Location Sentiment Trends in Mauritania

• Urban Development Perception – Public sentiment varies between growing urban centers like Nouakchott and smaller towns, impacting investment decisions.
• Tourism Sentiment – Increasing interest in Mauritania’s historical sites and desert landscapes influences sentiment trends in the travel industry.
• Infrastructure and Transportation – Public feedback on road conditions, public transit, and utilities affects regional development planning.
• Economic Sentiment – Insights into how local businesses, employment opportunities, and market conditions shape public perception.
• Environmental and Climate Impact – Sentiment data on climate change, desertification, and conservation efforts inform sustainability initiatives.

Top 5 Applications of Location Sentiment Data in Mauritania

• Urban and Regional Planning – Helps policymakers improve infrastructure and public services based on sentiment trends.
• Market Research and Business Expansion – Assists businesses in identifying favorable locations for investment and expansion.
• Tourism and Hospitality Industry – Provides insights into traveler sentiment to enhance tourism strategies and marketing.
• AI and Machine Learning – Enhances location-based sentiment analysis for predictive modeling and decision-making.
• Public Policy and Governance – Supports government agencies in assessing public opinion on policies and local initiatives.

Accessing Techsalerator’s Location Sentiment Data

To obtain Techsalerator’s Location Sentiment Data for Mauritania, contact info@techsalerator.com with your specific requirements. Techsalerator provides customized datasets based on requested fields, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields

• Geographic Location
• Sentiment Score (Positive, Neutral, Negative)
• Topic Categorization
• Demographic Sentiment Insights
• Time-Based Sentiment Trends
• Public Review Sources (Social Media, Surveys, etc.)
• Industry-Specific Sentiment Analysis
• Economic and Business Sentiment
• Environmental Sentiment Trends
• Contact Information

For in-depth insights into public sentiment and regional perception in Mauritania, Techsalerator’s dataset is an invaluable resource for businesses, researchers, policymakers, and urban planners.

In a survey conducted in 10 Southeast Asian countries in 2025, the majority of respondents from several countries in ASEAN (Association of Southeast Asian Nations) were worried about the growing political influence of China in the region. This sentiment was particularly common in Vietnam, as it was chosen by **** percent of the country's survey participants.

In a survey conducted in *** Southeast Asian countries in 2024, the majority of respondents from several countries in ASEAN (Association of Southeast Asian Nations) were welcoming the growing political influence of ASEAN in the region. This sentiment was particularly common in Brunei, as it was chosen by over ** percent of the country's survey participants. In contrast, over ** percent of respondents from Laos were worried about the growing political influence of ASEAN in the region.

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. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations. This survey was undertaken to assess consumer sentiment and buying plans. Open-ended questions were asked concerning evaluations and expectations about personal finances, employment, recession, price changes, and the national business situation. Additional variables probe respondents' buying intentions for a house, automobiles, appliances, and other consumer durables, and the respondents' appraisals of present market conditions for purchasing houses and other durables. Other variables probe respondents' opinions of the United States government's help to the South Vietnamese government, the seriousness of Arab nations' intentions regarding peace with Israel, women's right to abortion, voting for a woman or a Jew as a presidential candidate, gun permit law, causes of crime and lawlessness, chances of Russian adherence to a nuclear weapons limitation agreement with the United States, and communism in the United States and free speech. Additional topics covered include the proposed government tax returns, a solution to the energy crisis, the relative merits of buying a new or used car and the relative value of small foreign cars and the small American cars, job pay satisfaction, penalties for smoking marijuana, freedom to make uncomplimentary public speeches, monetary drive of lawyers and doctors and the state of the public good, satisfaction with life in the United States, government's expected role in racial integration and relations between white and Black people, vacation plans, and respondents' assessment of their financial status relative to the previous year. Information is also provided on respondents' car ownership and the make and use of it, political party self-identification and party candidate vote preference, self-identified ideological position, the neighborhood and house structure respondents live in, and spending plans for their income tax refunds. Demographic variables provide information on respondents' age, sex, race, marital status, occupation, employment status, religion, and family income.

We present a survey to evaluate crypto-political, crypto-economic, and crypto-governance sentiment in people who are part of a blockchain ecosystem. Based on 3,710 survey responses, we describe their beliefs, attitudes, and modes of participation in crypto and investigate how self-reported political affiliation and blockchain ecosystem affiliation are associated with these. We observed polarization in questions on perceptions of the distribution of economic power, personal attitudes towards crypto, normative beliefs about the distribution of power in governance, and external regulation of blockchain technologies. Differences in political self-identification correlated with opinions on economic fairness, gender equity, decision-making power and how to obtain favorable regulation, while blockchain affiliation correlated with opinions on governance and regulation of crypto and respondents’ semantic conception of crypto and personal goals for their involvement. We also find that a theory-driven constructed political axis is supported by the data and investigate the possibility of other groupings of respondents or beliefs arising from the data.

What affects civilian collaboration with armed actors during civil war? While theory and evidence confirm that harm by armed actors influences when and with whom civilians collaborate, we argue that collaboration is also a function of civilians’ perceptions of armed actors’ efforts to minimize collateral casualties. We test this argument using a series of nationwide surveys of Afghan civilians conducted quarterly between 2013 and 2015. Our data record civilian willingness to report roadside bombs to government authorities and perceptions of government and Taliban efforts to minimize civilian harm. Civilians are less (more) willing to collaborate with the government when they perceive the government (Taliban) carelessly using force, even after accounting for political sentiment, local security conditions, and a range of additional confounding factors. Moreover, our evidence suggests that perceived carelessness in the rival’s area of control influences collaboration. We discuss how these empirical results inform broader literatures on collaboration, conquest, occupation, and control.

Popular consent is an essential element for the success and stability of democracies. Research has repeatedly demonstrated that “electoral winners” (i.e., voters casting a ballot for government parties) are more satisfied with democracy than supporters of the opposition parties. However, little is known about the dynamics of satisfaction during the electoral cycle: do winners become happier and losers even more discontent over time? We approach this question by utilizing administrative variable – interview date – included in the European Social Survey (Rounds 1 to 8) to position individuals within the stages of the electoral cycle. The results based on 199,207 responses from 199 surveys in 31 countries suggest that the satisfaction with democracy remains relatively stable during the electoral cycle across various electoral systems if the political circumstances are predictable. However, if the actions of the parties are uncertain: that is, the alternations of governments tend to be frequent, partial, and open to all parties, and hence neither winners nor losers know how steady their status is with respect to the political situation in the country, their satisfaction tends to fluctuate over time. Therefore, the conclusions reached in the more stable Western European democracies have only limited generalizability to the less-predictable systems in Central and Eastern Europe.