The U.S. auto industry sold nearly three million cars in 2024. That year, total car and light truck sales were approximately 15.9 million in the United States. U.S. vehicle sales peaked in 2016 at roughly 17.5 million units. Pandemic impact The COVID-19 pandemic deeply impacted the U.S. automotive market, accelerating the global automotive semiconductor shortage and leading to a drop in demand during the first months of 2020. However, as demand rebounded, new vehicle supply could not keep up with the market. U.S. inventory-to-sales ratio dropped to its lowest point in February 2022, as Russia's war on Ukraine lead to gasoline price hikes. During that same period, inflation also impacted new and used car prices, pricing many U.S. consumers out of a market with increasingly lower car stocks. Focus on fuel economy The U.S. auto industry had one of its worst years in 1982 when customers were beginning to feel the effects of the 1973 oil crisis and the energy crisis of 1979. Since light trucks would often be considered less fuel-efficient, cars accounted for about 77 percent of light vehicle sales back then. Thanks to improved fuel economy for light trucks and cheaper gas prices, this picture had completely changed in 2020. That year, prices for Brent oil dropped to just over 40 U.S. dollars per barrel. The decline occurred in tandem with lower gasoline prices, which came to about 2.17 U.S. dollars per gallon in 2020 - and cars only accounted for less than one-fourth of light vehicle sales that year. Four years on, prices are dropping again, after being the highest on record since 1990 in 2022.

The Consumer Expenditure Estimates dataset was created by SimplyAnalytics using small area estimation techniques. The Consumer Expenditure (CE) Public Use Microdata (PUMD) samples thousands of respondents (referred to as consumer units, or "CUs") across Texas. Each CU is assigned a weight that reflects the relative proportion of all American CUs that they represent. To estimate expenditures at the Census block group and ZCTA5 levels, we use data from the American Community Survey 5-Year Estimates as a proxy for how CUs are distributed over small areas, and use this information to derive expenditure estimates for all CE spending categories. Due to limitations on the PUMD sample size, and to account for national-level weighting of all CUs, the estimates are further adjusted to account for regional fluctuations in cost of living.

Total Vehicle Sales in the United States decreased to 15.65 Million in May from 17.27 Million in April of 2025. This dataset provides the latest reported value for - United States Total Vehicle Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This dataset provides detailed insights into customer demographics and financial details related to car purchases. It is ideal for data analysis, machine learning, and business intelligence applications, helping researchers and analysts understand the factors influencing car purchase behavior.

Dataset Features The dataset includes 9 columns:

**Customer Name **– The full name of the customer. Customer E-mail – Contact email of the customer. Country – The country where the customer is located. Gender – The gender of the customer (Male/Female). Age – Age of the customer in years. **Annual Salary **– The annual income of the customer (in USD). **Credit Card Debt **– The amount of credit card debt the customer has (in USD). Net Worth – The net worth of the customer (in USD). Car Purchase Amount – The total amount spent by the customer on purchasing a car (in USD).

Potential Use Cases 📊 Exploratory Data Analysis (EDA) – Understanding patterns and trends in car purchases. 🤖 Machine Learning Modeling – Predicting car purchase amounts based on customer financials. 💡 Marketing & Business Insights – Identifying high-value customers for targeted marketing. 📈 Financial Analysis – Understanding the impact of income, debt, and net worth on purchasing power.

Target Audience Data science enthusiasts 📊 Machine learning practitioners 🤖 Business analysts 📈 Marketing professionals 🎯 Students and researchers 🏫

Possible Explorations 🔹 What factors influence a customer's car purchase amount? 🔹 Does net worth correlate with higher spending on cars? 🔹 How does age impact car purchasing decisions? 🔹 Are there country-specific differences in purchasing trends?

Context

The dataset contains information about the people affordability to buy a new car in China. Discuss how the factors including age, education background, family size, living region, income, health condition influence the decision to spend money on buying a new car.

Content

The data is of the head of the family gender - The gender of the head of the family age - Age of head of the family Health- Health condition of the head of the family (Good/Poor) Education_Level - Maximum Educational level of head of the family Family Size - Size of the family Income - Yearly Total income of the family Risk - Chance of dying in next 10 years ---Scale-1-10 (Highest possibility - 10, Lowest Possibility o of dying Decision - Have the ability to buy a new car (Yes/No)

A digital record of all Tesla fires - including cars and other products, e.g. Tesla MegaPacks - that are corroborated by news articles or confirmed primary sources. Latest version hosted at https://www.tesla-fire.com.

Gasoline Prices in the United States decreased to 0.83 USD/Liter in May from 0.84 USD/Liter in April of 2025. This dataset provides the latest reported value for - United States Gasoline Prices - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This dataset covers ballots 247-78, 250-52, and 254, spanning March, May, July, September-November 1956. The dataset contains the data resulting from these polls in ASCII. The ballots are as follows: 247 - March This Gallup poll aims to collect the opinions of Canadians on such issues as politics, current events, trends and habits. Some of the questions also inquire about topics like the Trans-Canada Pipeline, marriage and funerals. Respondents were also asked questions so that they could be grouped according to geographic, demographic and social variables. Topics of interest include: the 30 hour work week; the Academy awards; awareness towards Australia; broadcasting regulation; the Canadian Broadcasting Corporation (CBC); dining out; doctors; federal elections; a two party electoral system; funerals; government competition; health care; hospital problems; husbands' faults; marriage; movies; phone ownership; preferred political parties; price trends; the Quebec provincial election; television's influence; the Trans-Canada pipeline; union membership; voting behaviour; and wives faults. Basic demographics variables are also included. 248 - May This Gallup polls seeks the opinions of Canadians on current events in Canada and around the world, the continuing development of industry and communities in Canada, and some lighter topics including holidays. Respondents were also asked questions so that they could be grouped according to geographic, demographic, and social variables. Topics of interest include: American influence over Canada; American investment in Canada; the conflict between Israel and the Arabs; arms sales in Canada; bilingualism and unity; the British commonwealth; federal elections; fluoridation of water; gender issues; how to spend holidays; major development of Canada; preferred political parties; prevention of war; standards of living; union membership; the United Nations; and voting behaviour. Basic demographics variables are also included. 250 - July This Gallup poll seeks to collect the opinions of Canadians on issues of importance to the country. Questions relating to such issues as politics, health, highways and Russia are included in this survey. Respondents were also asked questions so that they could be grouped according to geographic, demographic and social variables. Topics of interest include: the Canadian Broadcasting Corporation (CBC); car ownership; cremation; drivers license possession; exercise and walking; family budget; federal elections; highway speed limit; hospital costs; St. Laurent's performance as Prime Minister; phone ownership; preferred political parties; Russia's desire to dominate; smoking habits; speed limit; Stalin affecting Russian policy towards to west; television ownership; Trans-Canada pipeline; union membership; voting behaviour; and world leaders. Basic demographics variables are also included. 251 - September This Gallup poll seeks to collect the opinions of Canadians on a variety of subjects. The main topics of discussion are politics and elections, children, and the average Canadian. In addition, there are several current events topics, with subjects that include income taxes, obesity, and sports. Respondents were also asked questions so that they could be grouped according to geographic, demographic, and social variables. Topics of interest include: the American election; the average Canadian; car ownership; child pampering; donating to a political campaign; drivers license possession, the Duke of Windsor; the federal election; federal office; government problems; the Grey Cup, opinions on what happiness is; how happy the respondents are; income tax rates; the lifespan of obese people; mandatory military service; whether obese people are more prone to heart attacks; population predictions; preferred political parties; traffic tickets; the Suez Canal dispute; Union membership; voting behaviour; and how world relations are affected by the Olympics. Basic demographics variables are also included. 252 - October This Gallup Poll aims primarily to seek the political opinions of Canadians. The majority of questions concern either politicians or policy, both in Canada and/or abroad. Respondents were also asked questions so that they could be grouped according to geographic, demographic, and social variables. Topics of interest include: the airforce's manpower; American foreign policy; the army's manpower; British foreign policy; Canadian premiers; car ownership; careers to bring fame; church attendance patterns; Conservative party leader; economic depression predictions; the federal election; the next Governor General; income tax authorities; the main role of labour unions; the navy's manpower; preferred political parties; price changes; politicians; the quality of the past year for farmers; union membership; and voting behaviours. Basic demographics variables have also been included. 254 - November This Gallup poll seeks the opinions and awareness levels of Canadians on issues of political and legal importance. There are also several questions relating to the United Nations and international affairs. The respondents were also asked questions so that they could be grouped according to geographic, demographic and social variables. Topics of interest include: American foreign policy; British foreign policy; danger of losing personal rights; federal elections; laws regarding arrest warrants; personal goals for 1957; preferred political parties; protection of personal rights; rights of arrested people; success of family life; the Suez Canal dispute; television ownership; union membership; and voting behaviour. Basic demographics variables are also included. The codebook for this dataset is available through the UBC Library catalogue, with call number HN110.Z9 P84.

We collect, validate, model, and segment raw data signals from over 900+ sources globally to deliver thousands of mobile audience segments. We then combine that data with other public and private data sources to derive interests, intent, and behavioral attributes. Our proprietary algorithms then clean, enrich, unify and aggregate these data sets for use in our products. We have categorized our audience data into consumable categories such as interest, demographics, behavior, geography, etc. Audience Data Categories:Below mentioned data categories include consumer behavioral data and consumer profiles (available for the US and Australia) divided into various data categories. Brand Shoppers:Methodology: This category has been created based on the high intent of users in terms of their visits to Brand outlets in the real world. To create segments containing users with a high-affinity index, we use a precise determination of the number of occurrences at a given time. Place Category Visitors:Methodology: This category has been created based on the high intent of users visiting specific places of interest in the real world. To create segments containing users with a high-affinity index, we use a precise determination of the number of occurrences at a given time. Demographics:This category has been created based on deterministic data that we receive from apps based on the declared gender and age data. Marital Status, Education, Party affiliation, and State residency are available in the US. Geo-Behavioural:This category has been created based on the high intent of users in terms of the frequency of their visits to specific granular places of interest in the real world. To create segments containing users with a high-affinity index, we use a precise determination of the number of occurrences at a given time. Interests:This segment is created based on users' interest in a specific subject while browsing the internet when the visited website category is clearly focused on a specific subject such as cars, cooking, traveling, etc. We use a deterministic model to assign a proper profile and time that information is valid. The recency of data can range from 14 to 30 days, depending on the topic. Intent:Factori receives data from many partners to deliver high-quality pieces of information about users’ shopping intent. We collect data from sources connected to the eCommerce sector and we also receive data connected to online transactions from affiliate networks to deliver the most accurate segments with purchase intentions, such as laptops, mobile phones, or cars. The recency of data can range from 7 to 14 days depending on the product category. Events:This category was created based on the high interest of users in terms of content related to specific global events - sports, culture, and gaming. Among the event segments, we also distinguish categories related to the interest in certain lifestyle choices and behaviors. To create segments containing users with a high-affinity index, we use a precise determination of the number of occurrences at a given time. App Usage:Mobile category is a branch of the taxonomy that is dedicated only to the data that is based on mobile advertising IDs. It is based on the categorization of the mobile apps that the user has installed on the device. Auto Ownership:Consumer Profiles - Available for US and AustraliaThis audience has been created based on users declaring that they own a certain brand of automobile and other automotive attributes via a survey or registration. These audiences are currently available in the USA. Motorcycle Ownership:Consumer Profiles - Available for US and AustraliaThis audience has been created based on users declaring that they own a certain brand of motorcycle and other motorcycle-based attributes via a survey or registration. These audiences are currently available for the USA. Household:Consumer Profiles - Available for the US and AustraliaThis audience has been created based on users' declaring their marital status, parental status, and the overall number of children via a survey or registration. These audiences are currently available in the USA. Financial:Consumer Profiles - Available for the US and Australia this audience has been created based on their behavior in different financial services like property ownership, mortgage, investing behavior, and wealth and declaring their estimated net worth via a survey or registration. Purchase/ Spending Behavior:Consumer Profiles - Available for the US and AustraliaThis audience has been created based on their behavior in different spending behaviors in different business verticals available in the USA. Clusters:Consumer Profiles - Available for the US and AustraliaClusters are groups of consumers who exhibit similar demographic, lifestyle, and media consumption characteristics, empowering marketers to understand the unique attributes that comprise their most profitable consumer segments. Armed with this rich data, data scientists can drive analytics and modeling to power their brand’s unique marketing initiatives. B2B Audiences;Consumer Profiles - Available for US and AustraliaThis audience has been created based on users declaring their employee credentials, designations, and companies they work in, further specifying business verticals, revenue breakdowns, and headquarters locations. Customizable Audiences Data Segment:Brands can choose the appropriate pre-made audience segments or ask our data experts about creating a custom segment that is precisely tailored to your brief in order to reach their target customers and boost the campaign's effectiveness. Location Query Granularity:Minimum area: HEX 8Maximum area: QuadKey 17/City