Price comparison portals can be useful in various ways. While they allow buyers to find the best possible price available for a product, they can also help sellers to make sure that the pricing of their products remain competitive. Sellers also can use these portals to market their products in front of a very targeted audience.

In the U.S., Google Shopping is the most well-known price comparison portal with a brand awareness of 59 percent. Second on this list are Yahoo Shopping and Bing Shop, that are recognized by almost half of the internet respondents. Shopzilla comes in fourth, followed by Shopping.com and PriceGrabber.

For this study, brand awareness was surveyed employing the concept of aided brand recognition, showing respondents both the brand's logo and the written brand name.

Interested in more detailed results covering all brands of this ranking and many more? Explore GCS Brand Profiles. These statistics show results of the Brand KPI survey.

These data allow a comparison of the general price level in Canada and the United States, calculated by dividing the purchasing power parities (PPP) by the annual exchange rate (United States cents per Canadian dollar), Canada=100, on an International Comparison Project Classification (ICP) basis.

Detailed cost of living comparison between United States and United States

Meta Quest is the branding assigned to a series of immersive headsets developed by Meta Platforms. In the United States, the company's Quest 3S device retailed at ****** U.S. dollars, while at the other range of the spectrum, the Quest Pro retailed at ****** U.S. dollars. However, Meta has since made the Pro version unavailable, instead directing buyers toward Quest 3 devices.

Most online consumers in the United States usually check prices before buying online. In an August 2022 survey, a total of ** percent of respondents answered affirmatively when asked whether they often compared prices before making an online purchase. In turn, another ** percent did not usually do so.

United States E-Commerce Transactions: Volume: E-Commerce & Shopping: Price Comparison data was reported at 1.000 Unit in 17 Mar 2024. This stayed constant from the previous number of 1.000 Unit for 08 Jan 2024. United States E-Commerce Transactions: Volume: E-Commerce & Shopping: Price Comparison data is updated daily, averaging 7.000 Unit from Dec 2018 (Median) to 17 Mar 2024, with 622 observations. The data reached an all-time high of 33.000 Unit in 25 Dec 2022 and a record low of 1.000 Unit in 17 Mar 2024. United States E-Commerce Transactions: Volume: E-Commerce & Shopping: Price Comparison data remains active status in CEIC and is reported by Grips Intelligence Inc.. The data is categorized under Global Database’s United States – Table US.GI.EC: E-Commerce Transactions: by Category.

Detailed cost of living comparison between United States and Turkey

United States E-Commerce Transactions: Value: E-Commerce & Shopping: Price Comparison data was reported at 14.476 USD in 17 Mar 2024. This records a decrease from the previous number of 32.979 USD for 08 Jan 2024. United States E-Commerce Transactions: Value: E-Commerce & Shopping: Price Comparison data is updated daily, averaging 240.018 USD from Dec 2018 (Median) to 17 Mar 2024, with 622 observations. The data reached an all-time high of 1,492.053 USD in 13 Dec 2022 and a record low of 2.879 USD in 14 Jun 2020. United States E-Commerce Transactions: Value: E-Commerce & Shopping: Price Comparison data remains active status in CEIC and is reported by Grips Intelligence Inc.. The data is categorized under Global Database’s United States – Table US.GI.EC: E-Commerce Transactions: by Category.

This statistic shows the share of homeowners who comparison shop for homeowners insurance in the United States in 2016, by channel. In 2016, ** percent of respondents stated that they went online to compare homeowners insurance prices from different companies.

The average retail price for beef amounted to * cents per gram in the United States for the 52 weeks ended April 27, 2019. Chicken, pork and turkey in average had the lowest price among selected protein products, amounting to * cents per gram. In comparison, meat alternatives had an average retail price of ** cents per gram during that period.

"Cost of living and purchasing power related to average income

We adjusted the average cost of living inside the USA (based on 2021 and 2022) to an index of 100. All other countries are related to this index. Therefore with an index of e.g. 80, the usual expenses in another country are 20% less then in the United States.

The monthly income (please do not confuse this with a wage or salary) is calculated from the gross national income per capita.

The calculated purchasing power index is again based on a value of 100 for the United States. If it is higher, people can afford more based on the cost of living in relation to income. If it is lower, the population is less wealthy.

The example of Switzerland: With a cost of living index of 142 all goods are on average about 42% more expensive than in the USA. But the average income in Switzerland of 7,550 USD is also 28% higher, which means that citizens can also afford more goods. Now you calculate the 42% higher costs against the 28% higher income. In the result, people in Switzerland can afford about 10 percent less than a US citizen."

Source: https://www.worlddata.info/cost-of-living.php

Apple Vision Pro arrived in February 2024, retailing with a start price of ***** U.S. dollars in the United States. As is the case with other Apple products, Apple Vision Pro is available with a range of storage options to suit a user's needs. The prices across variety of storage options have remained the same in 2025 Apple’s entrance to the era of spatial computing Designed primarily for mixed reality, in which real and virtual worlds can interact with one another, Vision Pro is labelled by Apple as a spatial computing device. The convergence of advanced motion sensors, computer vision, and powerful chips has acted as a catalyst for the evolution of spatial computing. The future of spatial computing The spatial computing market is expected to develop in the coming years, with a range of devices now available that seek to integrate augmented reality and virtual reality into our lives. In addition to Apple Vision Pro, examples include Microsoft HoloLens 2 and Meta Quest headsets, providing users with new ways to navigate, collaborate, and perceive the world around them.

Detailed cost of living comparison between United States and Georgia

Graph and download economic data for Average Sales Price of Houses Sold for the United States (ASPUS) from Q1 1963 to Q2 2025 about sales, housing, and USA.

Detailed cost of living comparison between United States and Jersey

Detailed cost of living comparison between United States and Greece

This dataset provides values for CORE CONSUMER PRICES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This dataset provides values for RETAIL PRICE INDEX reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This dataset provides values for PRODUCER PRICES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Real Estate Breakeven Analysis for U.S. Home Types

Buy vs Rent Comparison Across Markets

By Zillow Data [source]

About this dataset

This dataset provides a comprehensive analysis of the current real estate situation in the United States. It includes breakeven analysis charts that compare buying vs renting across major U.S. markets. This dataset contains various metrics such as home types, housing stock, price-to-income ratio, cash buyers, mortgage affordability and rental affordability to name a few. This data has been compiled using Zillow's own data along with TransUnion financing survey data and the Freddie Mac Primary Mortgage Market Survey to provide an accurate understanding of each metro area’s market health and purchasing power for buyers and renters alike. By downloading this information you can compare different regions based on size rank and other factors to get full insights regarding their potential fit for your needs or investments strategies as well as any potential risks associated with each region's housing market health

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How to use the dataset

This dataset is for real estate professionals, owner-occupants, potential buyers and renters who are interested in understanding which U.S. markets offer the most favorable home buying or rental opportunities from a financial perspective over the long term.

The “Real Estate Breakeven Analysis for U.S Home Types” dataset contains data pulled from Zillow's current and forecasted housing market metrics across many different real estate regions in the United States including cities, counties, states, metro areas and combined statistical areas (CSAs). The data includes several measures of affordability such as median price-to-rent ratio (MedPR), median breakeven horizon (MedBE) - which refers to how long it takes to make up purchase costs when compared with renting; cash purchaser share; mortgage rate; mortgage affordability indices; rental affordability rates etc.

In order to analyze and compare buying vs renting decisions across various regions in the US this dataset provides breakeven analysis at various levels of geographies i.e., state names, region types (city/metro area/county) and show how long it will take homeowners to break even on their purchase costs when compared with renting in that region over a longer period of time using discounted cash flow methodology. This information helps people understand what type of transaction is a better fit for them by weighing short term vs long term goals accordingly by evaluating these different factors related to housing metrics carefully before making financial decisions about purchasing or renting properties in desired location(s).

To use this dataset one can use either basic filters like RegionType or RegionName or more detailed filter criteria like CountyName, City name , Metro area name , State Name etc . For example if someone wanted to look at properties available for rent only then they can apply filters based on Province Type =‘Rental’ Also one can further refine searches based on filtering them with defined SampleRate , Median Price – To – Rent Ratio …..etc . This could be useful if seekers would want only specific type of property like Condominium/Coop /Multifamily 5+ Units /Duplex Triplex listing etc …and then apply other parameters like Cash Buyers percent , Mortgage Affordability Rate….etc ..in order narrow down search results while looking at Breakeven scores /horizons in their target locations . One should take advantages of all relevant parameters while searching through data before making any decision related with owning rental properties so that they can make sure best possible investment decision given

Research Ideas

• Visualizing changes in real estate trends across regions by comparing price to rent ratios, mortgage affordability indices and cash buyers over time.
• Market segmentation analysis based on region-level market characteristics such as negative equity data, rental affordability, median house values and population size.
• Predicting housing demand within a particular region based on its breakeven horizon or price to rent ratio

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: BreakEven_2017-03.csv | Column name | Description | |:----------------|:----------------------------------------------------...