In 2023, the mining, quarrying, and oil and gas extraction industry added about 730 million chained 2017 U.S. dollars of value to New York's GDP. Total real GDP amounted to about 1.79 trillion chained 2017 U.S. dollars. In 2023, the per capita personal income in New York was 82,323 current U.S. dollars.

In 2023, the GDP of the New York metro area amounted to *** trillion chained 2017 U.S. dollars. This is an increase from 2021, when the GDP of the New York metro area was **** trillion dollars. New York CityThe New York metro area’s GDP has steadily risen in the last two decades from *** trillion U.S. dollars in 2001 to **** trillion U.S. dollars in 2023. In September 2023, the New York- Newark-Jersey City area had an unemployment rate of *** percent. It also had the highest population in the country in 2022 at ***** million people. New York City’s economy is one of the greatest in the country and is home to many Fortune 500 companies, including Big Pharma’s Bristol-Myers Squibb. Industries such as media, real estate, fashion and entertainment are some of the most prominent in the area. The finance industry in New York City, also known as Wall Street, is one of the leading financial centers of the world and houses the New York Stock Exchange and NASDAQ. The region is also home to one of the largest trading industries in the country at the Port of New York and New Jersey. This port includes a large estuary, regional airports, and a plethora of rail and road networks. Silicon Alley is one of the country’s largest technology industry hubs, including internet, telecommunications, and biotechnology. In 2022, there were some ****** business establishments in the region that focused on professional, scientific, and technical services.

How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov. The Low- to Moderate-Income (LMI) New York State (NYS) Census Population Analysis dataset is resultant from the LMI market database designed by APPRISE as part of the NYSERDA LMI Market Characterization Study (https://www.nyserda.ny.gov/lmi-tool). All data are derived from the U.S. Census Bureau’s American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS) files for 2013, 2014, and 2015. Each row in the LMI dataset is an individual record for a household that responded to the survey and each column is a variable of interest for analyzing the low- to moderate-income population. The LMI dataset includes: county/county group, households with elderly, households with children, economic development region, income groups, percent of poverty level, low- to moderate-income groups, household type, non-elderly disabled indicator, race/ethnicity, linguistic isolation, housing unit type, owner-renter status, main heating fuel type, home energy payment method, housing vintage, LMI study region, LMI population segment, mortgage indicator, time in home, head of household education level, head of household age, and household weight. The LMI NYS Census Population Analysis dataset is intended for users who want to explore the underlying data that supports the LMI Analysis Tool. The majority of those interested in LMI statistics and generating custom charts should use the interactive LMI Analysis Tool at https://www.nyserda.ny.gov/lmi-tool. This underlying LMI dataset is intended for users with experience working with survey data files and producing weighted survey estimates using statistical software packages (such as SAS, SPSS, or Stata).

The New York Data Center Market Report is Segmented by Data Center Size (Small, Medium, Large, Mega), Tier Standard (Tier I-II, Tier III, Tier IV), and Absorption (Utilized, Non-Utilized). The Market Forecasts are Provided in Terms of Value (MW).

In 2022, the retail trade industry made up the largest share of business establishments in New York, with around ****** registered in the state that year. Followed by professional, scientific, and technical services, with ******.

The New York Freight And Logistics Market report segments the industry into By Logistic Function (Courier, Express, And Parcel (CEP), Freight Forwarding, Freight Transport, Warehousing And Storage, Other Services), By End User Industry (Agriculture, Fishing And Forestry, Construction, Manufacturing, Oil And Gas, Mining And Quarrying, Wholesale And Retail Trade, Others).

Graph and download economic data for Gross Domestic Product: All Industry Total in New York (NYNGSP) from 1997 to 2024 about NY, GSP, industry, GDP, and USA.

The Department of Taxation and Finance annually produces a mandated dataset of credit activity under the General Business Corporation Franchise Tax (Article 9‐A) to help analyze the effects of the claims. The data used to generate this report come from an annual study file based on the latest available data drawn from New York State corporation tax returns. The totals in the summary datasets may not match the detail datasets due to rounding and disclosure requirements. The totals in the summary datasets may not match the detail data due to rounding and disclosure requirements. Total values for numbers of taxpayers and amount of credit, in addition to mean and median credit, were computed using all taxpayers in the study file.

A series of datasets presents profiles of the credits distributed by different subgroupings. These include: • Summarization of tax credit activity by credit and component • Summarization of tax credit activity by credit, component and basis of taxation. • Summarization of tax credit activity by credit, component and NAICS industry description.
• Summarization of tax credit activity by credit, component and the size of the credit used.
• Summarization of tax credit activity by credit, component and the size of the entire net income of the taxpayer.

Secrecy provisions preclude providing all subgroupings for all credits and also generally require the omission of credit refund data. These datasets only contains data for corporate franchise taxpayers filing under Article 9-A. It does not include statistics for taxpayers filing as banks under Article 32 (however, starting in 2015 banks and general business corporations will file under the same tax article, Article 9A), insurance companies filing under Article 33, or taxpayers filing under any of the various sections of Article 9. Nor does it provide data for taxpayers claiming credits under Article 22, the Personal Income Tax. These taxpayers claim credit by virtue of being sole proprietors or as recipients of credit that originated with flow-through entities (i.e., S corporations, limited liability companies, or partnerships).

The Local Area Unemployment Statistics program estimates labor force statistics (labor force, employed, unemployment, unemployment rate) for New York State civilian labor force aged 16 and up. Areas covered include, New York State, New York City, Balance of State, Metropolitan Statistical Areas, Counties, Labor Market Regions, Workforce Investment Board Areas, and cities and towns with populations of 25,000 or more. Data are not seasonally adjusted. Civilian labor force data do not include military, prison inmate, or other institutional populations.

The United States senior living market, valued at $112.93 billion in 2025, is experiencing robust growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 5.86% from 2025 to 2033. This expansion is fueled by several key drivers. The aging population, particularly the baby boomer generation, is a significant factor, creating an increasing demand for assisted living, independent living, memory care, and nursing care facilities. Furthermore, rising disposable incomes and increasing awareness of the benefits of senior living communities contribute to market growth. Technological advancements in senior care, such as telehealth and remote monitoring, are also enhancing the quality of life for residents and boosting market appeal. However, the market faces some restraints, including the rising costs of healthcare and senior care services, potentially limiting accessibility for some segments of the population. Furthermore, staffing shortages within the industry represent a significant challenge. The market is segmented by property type, with assisted living, independent living, and memory care facilities representing the largest segments. Key states driving market growth include New York, Illinois, California, North Carolina, and Washington, reflecting higher concentrations of the senior population and higher disposable incomes. Major players in the market such as Ensign Group Inc, Sunrise Senior Living, Brookdale Senior Living Inc, and Atria Senior Living Inc, compete fiercely, driving innovation and service improvements. The forecast period (2025-2033) anticipates continued growth, driven by the ongoing demographic shifts and increased demand for high-quality senior care options. Strategic partnerships, acquisitions, and investments in technology are likely to shape the competitive landscape in the coming years. The industry will continue to adapt to meet the evolving needs of the aging population, focusing on personalized care, innovative technologies, and cost-effective solutions. This comprehensive report provides an in-depth analysis of the booming United States senior living market, covering the period from 2019 to 2033. With a base year of 2025 and a forecast period spanning 2025-2033, this report is an invaluable resource for investors, industry professionals, and anyone seeking to understand the dynamics of this rapidly evolving sector. The report leverages extensive data analysis to provide insightful projections and uncover key trends shaping the future of senior care in the US. Expect detailed breakdowns of key segments, including assisted living, independent living, memory care, and nursing care, across major states like California, New York, Illinois, North Carolina, and Washington. Recent developments include: July 2023: Spring Cypress senior living site expansion is set to open at the end of 2024 and will consist of three phases. The first phase of the expansion will include 19 independent-living, two-bedroom cottages. The second phase will include 24 townhomes. The third phase will feature 95 apartments. The final phase will feature a resort with several luxury amenities., Apr 2023: For seniors looking for innovative, high-quality care, Avista Senior Living is transitioning away from its SafelyYou partnership to empower safer, more personalized dementia care with real-time, AI video and remote clinical experts 24/7.. Key drivers for this market are: 4., Increase in Aging Population Driving the Market4.; Healthcare and Long-term Care Needs Driving the Market. Potential restraints include: 4., High Affordability and Cost of Care Affecting the Market4.; Staffing and Workforce Challenges Affecting the Market. Notable trends are: Senior Housing Witnessing Increased Demand.

For those looking to do business with New York manufacturers, it helps to have a thorough understanding of the state's manufacturing climate. Today we're focusing on some key statistics on New York's manufacturing sector and providing a look at the state's top companies.

Graph and download economic data for Total Gross Domestic Product for New York-Newark-Jersey City, NY-NJ-PA (MSA) (NGMP35620) from 2001 to 2023 about New York, NJ, PA, NY, industry, GDP, and USA.

Description:

This dataset contains prices of New York houses, providing valuable insights into the real estate market in the region. It includes information such as broker titles, house types, prices, number of bedrooms and bathrooms, property square footage, addresses, state, administrative and local areas, street names, and geographical coordinates.

Key Features:

• BROKERTITLE: Title of the broker
• TYPE: Type of the house
• PRICE: Price of the house
• BEDS: Number of bedrooms
• BATH: Number of bathrooms
• PROPERTYSQFT: Square footage of the property
• ADDRESS: Full address of the house
• STATE: State of the house
• MAIN_ADDRESS: Main address information
• ADMINISTRATIVE_AREA_LEVEL_2: Administrative area level 2 information
• LOCALITY: Locality information
• SUBLOCALITY: Sublocality information
• STREET_NAME: Street name
• LONG_NAME: Long name
• FORMATTED_ADDRESS: Formatted address
• LATITUDE: Latitude coordinate of the house
• LONGITUDE: Longitude coordinate of the house

Potential Use Cases:

• Price analysis: Analyze the distribution of house prices to understand market trends and identify potential investment opportunities.
• Property size analysis: Explore the relationship between property square footage and prices to assess the value of different-sized houses.
• Location-based analysis: Investigate geographical patterns to identify areas with higher or lower property prices.
• Bedroom and bathroom trends: Analyze the impact of the number of bedrooms and bathrooms on house prices.
• Broker performance analysis: Evaluate the influence of different brokers on the pricing of houses.

If you find this dataset useful, your support through an upvote would be greatly appreciated ❤️🙂 Thank you

The statistic shows the number of visitors to New York City in 2015, by country of origin . In that year, the United Kingdom was the highest ranked international market with *** million visitors to New York City.

This data provides a comprehensive view of how the growing use of GLP-1 medications such as Ozempic, Wegovy, and Mounjaro is influencing food and beverage consumption across mid-sized cities in North America. It uncovers the behavioral and economic ripple effects of a rapidly expanding health trend, giving consumer brands, retailers, and investors the ability to measure, anticipate, and adapt to shifting demand patterns. As part of a larger platform of global consumer insights, this data is designed to be both region-specific and globally scalable, enabling benchmarking across cities, categories, and demographics worldwide.

At the center of this work is the recognition that the adoption of GLP-1s is no longer a niche health issue—it has become a mainstream factor reshaping household budgets, eating habits, and retail sales. Millions of consumers now report weight-loss and appetite management effects that directly alter how much they purchase, how often they dine out, and which categories they prioritize. For the food and beverage industry, the impact is structural. The question is not whether demand will change, but by how much, in which categories, and among which segments of the population.

The data captures the percentage of consumers in each city currently on GLP-1s and quantifies the corresponding reduction in spending across four major food and beverage categories: snacks, beverages, fast food, and groceries. By breaking down the impact at this level, the data highlights where the steepest cutbacks are occurring and how they differ by market context. Snacks and beverages may show discretionary pullbacks, while grocery staples can reveal subtler, long-term consumption declines. Fast food spend, often linked to convenience and impulse behavior, can serve as a leading indicator of shifting routines. This category-specific visibility ensures that brands can adjust strategy not only at the portfolio level but also within each business unit.

Geographically, the coverage focuses on ten mid-sized North American cities, including Austin, Denver, Charlotte, Portland, San Antonio, Ottawa, Calgary, Guadalajara, Tijuana, and Puebla. These urban centers are chosen to complement insights already available from major hubs like New York or Mexico City. They represent diverse economies and consumer profiles, from tech-driven cities with younger populations to more traditional centers with multigenerational households. This makes the data particularly valuable for brands aiming to expand beyond top-tier markets and understand the broader regional picture.

The demographic detail enriches the picture further. Each record in the data is tied to age group (Gen Z, Millennials, Gen X, Boomers), income bracket (low, middle, high), and household type (single, couple, family with children, multi-generational). This allows users to isolate how different population segments respond to GLP-1 adoption. For instance, middle-income families may register sharper reductions in grocery and snack purchases, while high-income singles could show steadier spend but with different category reallocations. These contrasts reveal the complexity of the Ozempic economy: its effects are not uniform but filtered through demographic and socioeconomic contexts.

The use cases for this data are wide-ranging. For FMCG brands, it signals where demand erosion is most pronounced and where portfolio adjustments or innovation are required. Retailers can use it to recalibrate inventory and assortment planning, ensuring they are not overstocked in categories where consumption is structurally declining. Food service operators gain insight into how reduced appetite translates into lower frequency of dining out and what that means for long-term revenue projections. Investors can track which categories, companies, and geographies are most exposed to GLP-1-related demand shifts, and which may benefit from adjacency opportunities such as health and wellness products.

The implications also extend to marketing. Traditional advertising may struggle to stimulate demand when appetite itself is suppressed. Instead, marketers must explore new strategies that align with evolving consumer priorities—smaller portion sizes, healthier alternatives, or bundling strategies that deliver value even in a lower-consumption environment. Understanding the demographic makeup of GLP-1 adoption provides a critical edge here, ensuring campaigns are targeted at the right segments with the right message.

Because this data is built on zero-party input directly from consumers, it provides an authentic and unfiltered signal of how real people are adjusting their behavior. It is not modeled or inferred from secondary sales data alone, which often lags behind shifts already happening in households. Instead, it reflects what consumers report about their own usage of GLP-1s and the tangible impact on their food and beverage spending. This immediacy is what makes the data so powerful: it ca...

Low‑Latency Market Data Distribution Market Outlook

According to our latest research, the global Low-Latency Market Data Distribution market size is valued at USD 8.3 billion in 2024 and is expected to reach USD 21.7 billion by 2033, growing at a robust CAGR of 11.3% during the forecast period. The primary growth driver for this market is the surging demand for real-time data transmission and analytics in financial services, particularly for algorithmic trading and high-frequency trading environments. As per our comprehensive analysis, the market is witnessing a paradigm shift toward ultra-fast data processing and distribution, underpinned by technological advancements and the growing complexity of global financial systems.

One of the pivotal growth factors propelling the Low-Latency Market Data Distribution market is the exponential rise in electronic trading across global financial markets. The financial sector, especially investment banks, hedge funds, and trading platforms, have become increasingly reliant on low-latency data feeds to gain a competitive edge. Algorithmic and high-frequency trading strategies demand the fastest possible access to market information, as even microsecond delays can translate into significant financial losses or missed opportunities. This has led to substantial investments in cutting-edge hardware, software, and network infrastructure designed to minimize latency. Furthermore, the proliferation of new financial instruments and the expansion of global trading venues have amplified the need for scalable and reliable low-latency solutions.

Technological innovation is another major catalyst for market expansion. The integration of advanced networking technologies such as Field-Programmable Gate Arrays (FPGAs), 5G, and edge computing has revolutionized the way market data is distributed. These technologies enable faster data transmission, reduce bottlenecks, and ensure seamless communication between disparate trading systems. Additionally, the adoption of cloud-based architectures and hybrid deployment models is facilitating greater flexibility and scalability for organizations. This enables them to manage fluctuating data volumes efficiently while maintaining ultra-low latency. Such advancements are not only transforming the financial sector but are also finding applications in other data-intensive industries such as telecommunications and government.

Regulatory compliance and market transparency are also fueling the adoption of low-latency data distribution solutions. Financial regulators across various regions have imposed stringent requirements for real-time reporting, surveillance, and risk management. Institutions are compelled to implement robust systems that can deliver accurate, real-time data to comply with these mandates. The need for proactive risk management and market surveillance has further underscored the importance of low-latency infrastructures, driving continuous innovation and investment in this domain. As a result, the market is witnessing increased collaboration between technology providers, financial institutions, and regulatory bodies to develop solutions that meet both performance and compliance requirements.

From a regional perspective, North America continues to dominate the Low-Latency Market Data Distribution market, accounting for the largest share in 2024. This leadership is primarily attributed to the presence of major financial hubs such as New York, Chicago, and Toronto, where high-frequency trading and real-time market analytics are critical. Europe follows closely, with key financial centers like London, Frankfurt, and Paris driving demand. The Asia Pacific region is emerging as a significant growth engine, propelled by rapid digitalization, expanding financial markets, and regulatory reforms in countries like China, Japan, and Singapore. Latin America and the Middle East & Africa are also witnessing steady growth, albeit from a smaller base, as financial modernization efforts gain momentum.

Component Analysis

The Component segment of the

This dataset contains information submitted by New York State Article 28 Hospitals as part of the New York Statewide Planning and Research Cooperative (SPARCS) and Institutional Cost Report (ICR) data submissions. The dataset contains information on the volume of discharges, All Payer Refined Diagnosis Related Group (APR-DRG), the severity of illness level (SOI), medical or surgical classification the median charge, median cost, average charge and average cost per discharge. When interpreting New York’s data, it is important to keep in mind that variations in cost may be attributed to many factors. Some of these include overall volume, teaching hospital status, facility specific attributes, geographic region and quality of care provided. For more information, check out: http://www.health.ny.gov/statistics/sparcs/ or go to the "About" tab.

New York Slice Shop Market Outlook

According to our latest research, the New York Slice Shop Market achieved a market size of USD 1.58 billion in 2024, demonstrating robust consumer demand and a dynamic foodservice landscape across the United States. The market is expected to grow at a CAGR of 6.4% from 2025 to 2033, reaching a projected value of USD 2.75 billion by the end of the forecast period. Key growth drivers include evolving consumer preferences, increased demand for convenient and customizable food options, and the proliferation of online delivery platforms. As per the latest research, the market is being shaped by both traditional culinary influences and innovative approaches to service and product offerings, making it a vibrant sector within the broader quick-service restaurant (QSR) industry.

A significant growth factor for the New York Slice Shop Market is the increasing consumer prioritization of convenience and speed, particularly in urban and suburban environments. Consumers are seeking quick, affordable, and high-quality meal solutions, and New York-style pizza slices uniquely fit this demand profile. The rise of fast-casual dining and the integration of technology into ordering and payment processes have further streamlined the customer experience, reducing wait times and enhancing satisfaction. Furthermore, the ability to customize slices and experiment with diverse toppings allows slice shops to cater to a broad array of tastes, supporting higher foot traffic and repeat business. The market's adaptability to shifting consumer trends, such as the growing interest in plant-based and healthier options, also underpins its sustained expansion.

Another major driver is the cultural cachet and brand equity associated with New York-style pizza, which has become synonymous with authenticity, quality, and nostalgia. This reputation not only attracts local consumers but also appeals to tourists and transplants seeking a taste of New York's culinary heritage. The proliferation of social media and food-centric digital content has amplified the visibility of iconic slice shops, fostering word-of-mouth marketing and viral food trends. Additionally, innovative marketing strategies, such as limited-time specialty slices and collaborative events with local businesses, have helped slice shops maintain relevance and engage with younger demographics. These factors collectively contribute to a thriving and competitive market environment.

The expansion of third-party delivery platforms and the growing importance of digital channels represent a transformative shift for the New York Slice Shop Market. Online ordering, contactless payments, and app-based loyalty programs have become integral to the business model, enabling shops to reach a wider audience and drive incremental sales. The COVID-19 pandemic accelerated the adoption of delivery and takeout services, and these behaviors have persisted as consumers continue to value convenience and safety. Partnerships with delivery aggregators and the optimization of menu offerings for off-premise consumption have opened new revenue streams, particularly in suburban and exurban markets where traditional foot traffic may be lower. This digital transformation is expected to play a crucial role in the market's future trajectory.

In the bustling landscape of the New York Slice Shop Market, the emergence of specialized establishments like the Stromboli Shop has added a new dimension to consumer choices. Known for its unique twist on traditional pizza offerings, the Stromboli Shop caters to those seeking a hearty, rolled alternative to the classic slice. This innovation not only broadens the culinary appeal but also taps into the growing trend of customizable and portable meal options. By offering a diverse range of fillings and flavors, the Stromboli Shop has carved out a niche that complements the existing market dynamics, appealing to both adventurous eaters and those looking for a satisfying meal on the go. This strategic positioning highlights the potential for niche players to thrive alongside traditional slice shops, contributing to the overall vibrancy and diversity of the market.

Regionally, the Northeast remains the epicenter of the New York Slice Shop Market, given its cultural and historical ties to the pizza tradition. However, significant growth is

The economic impact of tourism in New York state saw significant growth in 2023, reaching *** billion U.S. dollars. When looking at a breakdown of tourism’s economic impact in New York, direct sales accounted for the highest share of economic impact, followed by induced sales. Is New York the most visited state in the U.S.? In 2023, the most visited state in the U.S., by international tourists, was New York. This was followed closely by Florida, and in third place, California. In 2023, visitation to New York City saw significant growth, reaching **** million visitors. What do visitors spend the most on in New York? In 2023, the tourism segment with the highest visitor spending in New York was lodging. Visitors to New York also spent a significant amount on food and beverages, followed by retail and services. Comparatively, the industry which held the lowest share of visitor spending was recreation.

New York Slice Shop Market Outlook

As per our latest research, the global New York Slice Shop market size in 2024 is valued at USD 8.4 billion, with a robust CAGR of 6.1% projected through the forecast period. By 2033, the market is anticipated to reach USD 14.3 billion, fueled by increasing consumer demand for authentic, convenient, and customizable pizza experiences. The growth is primarily driven by urbanization, evolving consumer preferences toward quick-service restaurants, and the rising trend of food delivery services globally.

The primary growth factor for the New York Slice Shop market is the surging popularity of fast-casual dining, particularly among younger demographics and urban dwellers. Consumers are increasingly seeking high-quality, affordable, and convenient meal options, making New York-style pizza slices an attractive choice. The unique characteristics of New York pizza—thin, foldable crust with generous toppings—have gained international appeal, further boosting market penetration beyond traditional strongholds. Additionally, the proliferation of social media has amplified the visibility of unique and artisanal slice shops, encouraging both local and tourist footfall, and contributing to higher frequency of visits and ticket sizes.

Another significant driver is the rapid expansion of food delivery platforms and digital ordering systems. The integration of advanced POS systems, mobile applications, and third-party delivery services has revolutionized how consumers access their favorite New York slices. This digital transformation has enabled slice shops to reach a broader audience, optimize operations, and improve customer engagement. The COVID-19 pandemic further accelerated this trend, with off-premise sales, including takeout and delivery, becoming a critical revenue stream for many operators. As consumer habits continue to shift toward convenience, the market is expected to benefit from sustained growth in digital and remote ordering channels.

Product innovation and menu diversification are also propelling the New York Slice Shop market forward. Operators are increasingly introducing specialty pizzas, vegan and vegetarian options, and locally sourced ingredients to cater to diverse dietary preferences and health-conscious consumers. This focus on customization and quality not only attracts a wider customer base but also allows shops to differentiate themselves in a competitive landscape. The emergence of limited-time offerings, seasonal menus, and collaborations with local chefs or brands are further enhancing consumer interest and driving repeat business, supporting sustained market growth.

From a regional perspective, North America continues to dominate the New York Slice Shop market, accounting for the largest share due to the cuisine's deep-rooted cultural significance and high urban population density. However, Europe and Asia Pacific are emerging as lucrative markets, with growing urbanization, rising disposable incomes, and increasing exposure to American food culture. The expansion of global travel and tourism, coupled with the proliferation of international foodservice brands, is expected to foster further growth in these regions. Latin America and the Middle East & Africa are also showing promising potential, albeit from a smaller base, as international franchises and independent operators expand into new territories.

Product Type Analysis

The Product Type segment of the New York Slice Shop market is highly diversified, reflecting evolving consumer tastes and preferences. Classic Cheese remains the cornerstone of most slice shops, prized for its simplicity, affordability, and broad appeal. As the most iconic offering, classic cheese slices account for a significant portion of total sales, particularly in regions where New York-style pizza is newly introduced. The universal familiarity of this product ensures consistent demand, making it a staple for both established operators and new market entrants. However, as consumer palates become more adventurous, there is increasing interest in innovative and premium toppings.

Pepperoni is another dominant product type, often regarded as the quintessential American pizza topping. Its popularity transcends age groups and demographics, making it a reliable revenue generator for slice shops. The demand for pepperoni slices is particularly strong in urban center