McDonald's generated a total revenue of ***** billion U.S. dollars in 2024. In that year, when looking at McDonald’s revenue by region, the country that generated the highest portion of revenue was the United States - accounting for ***** billion U.S. dollars. However, internationally operated markets including, but not exclusive to, Australia, France, Canada, and the UK, contributed the largest sum to the McDonald's total revenue in 2024. How did McDonald’s start? McDonald’s was originally founded in 1940 in San Bernardino, California, United States by Richard, and Maurice McDonald. It was eventually turned into a franchise operation and was bought from the McDonald’s brothers in 1955 by businessman Ray Kroc. In 2024, there were over ** thousand conventionally franchised McDonald's restaurants worldwide, which constituted the majority of its ****** establishments across the globe. The burger behemoth earned most of its revenue from McDonald’s franchised restaurants and received ***** billion U.S. dollars through this mode of operation in 2024. Is McDonald’s the largest quick service chain? McDonald’s had the highest brand value of any quick service restaurant company by a large margin in 2024. Not only that, but it also ranked in the top 100 biggest companies in the world in 2024. The biggest player in the market that year was ********** with a total market capitalization amounting to over *** trillion U.S. dollars.

McDonalds reported $55M in Stock for its fiscal quarter ending in June of 2025. Data for McDonalds | MCD - Stock including historical, tables and charts were last updated by Trading Economics this last August in 2025.

McDonald’s, the renowned global quick service restaurant chain, has maintained annual growth in its restaurant count for almost two decades, even during the years of the coronavirus (COVID-19) pandemic. In 2024, the company operated and franchised ****** restaurants globally, marking a rise from the previous year’s count of ****** establishments.

McDonald's Corporation operates and franchises McDonald's restaurants in the United States and internationally. Its restaurants offer hamburgers and cheeseburgers, chicken sandwiches and nuggets, wraps, fries, salads, oatmeal, shakes, desserts, sundaes, soft serve cones, bakery items, soft drinks, coffee, and beverages and other beverages, as well as breakfast menu, including biscuit and bagel sandwiches, breakfast burritos, hotcakes, and other sandwiches. As of December 31, 2021, the company operated 40,031 restaurants. McDonald's Corporation was founded in 1940 and is headquartered in Chicago, Illinois.

We report on low-spectral resolution observations of comet 9P/Tempel 1 from 1983, 1989, 1994 and 2005 using the 2.7m Harlan J. Smith telescope of McDonald Observatory. This comet was the target of NASA's Deep Impact mission and our observations allowed us to characterize the comet prior to the impact. In the published paper, we showed that the comet decreased in gas production from 1983 to 2005, with the decrease being different factors for different species. OH decreased by a factor 2.7, NH by 1.7, CN by 1.6, C3 by 1.8, CH by 1.4 and C2 by 1.3. Despite the decrease in overall gas production and these slightly different decrease factors, we found that the ratios of the gas production rates of OH, NH, C3, CH and C2 that of CN were constant over all of the apparitions. We saw no change in the production rate ratios after the impact. We found that the peak gas production occurred about two months prior to perihelion. This data set represents the integrated fluxes and column densities, mentioned in the published paper, which were used to derive the production rates in the paper.

This dataset provides restaurant inspections, violations, grades and adjudication information

The Record of American Democracy (ROAD) data provide election returns, socioeconomic summaries, and demographic details about the American public at unusually low levels of geographic aggregation. The NSF-supported ROAD project spans every state in the country from 1984 through 1990 (including some off-year elections). These data enable research on topics such as electoral behavior, the political characteristics of local community context, electoral geography, the role of minority groups in elections and legislative redistricting, split ticket voting and divided government, and elections under federalism. Another set of files has added to these roughly 30-40 political variables an additional 3,725 variables merged from the 1990 United States Census for 47,327 aggregate units called MCD Groups. The MCD Group is a construct for purposes of this data collection. It is based on a merging of the electoral precincts and Census Minor Civil Divisions (MCDs). An MCD is about the size of a city or town. An MCD Group is smaller than or equal to a county and (except in California) is greater than or equal to the size of an MCD. The MCD Group units completely tile the United States landmass. This particular study contains the files for the State Level MCD Group Data for the state of Nebraska. Documentation and frequently asked questions are available online at the ROAD Website. A downloadable PDF codebook is also available in the files section of this study.

McDonalds reported $6.84B in Sales Revenues for its fiscal quarter ending in June of 2025. Data for McDonalds | MCD - Sales Revenues including historical, tables and charts were last updated by Trading Economics this last August in 2025.

McDonald's Corporation (MCD) stock price today 308.84 USD with a 24-hour change of -0.04%. View real-time McDonald's Corporation stock chart, news, statistics, and key fundamentals.

Fast food giant McDonald’s recorded a revenue of approximately ***** billion U.S. dollars in the United States alone in 2024. Comparatively, international operated markets accounted for the highest amount of revenue, with ***** billion U.S. dollars. Due to the company's widespread success, McDonald's has become one of the most well-known fast food restaurants in the United States. The McDonald's brandMcDonald’s is arguably one of the most recognizable brands worldwide, let alone within the quick service market. In 2023, the company had over ** thousand restaurants all over the globe. The majority of these were based in the United States. However, the number of McDonald's restaurants worldwide is expanding in other regions as well. In 2024, there were ****** McDonald's restaurants located in the United States. Meanwhile, there were ****** restaurants located in international operated markets. Why did McDonald's revenue decrease? The quick service restaurant market has become increasingly competitive and while McDonald’s remains profitable, revenue has generally declined over the past decade. The McDonald’s business model – easily affordable food, clean environment, accessible by all - was something that revolutionized food service. However, this has been replicated by many other restaurants. This could be one of the many reasons there has been an overall decrease in revenue for the company throughout the past decade. McDonald's revenue did see an increase, however, from 2023 to 2024.

McDonalds stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Graph and download economic data for Employed Persons in McDonald County, MO (LAUCN291190000000005) from Jan 1990 to May 2025 about McDonald County, MO; Fayetteville; MO; household survey; employment; persons; and USA.

About this dataset

Context

The dataset tabulates the population of Mcdonald by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Mcdonald. The dataset can be utilized to understand the population distribution of Mcdonald by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Mcdonald. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Mcdonald.

Key observations

Largest age group (population): Male # 70-74 years (19) | Female # 70-74 years (62). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Mcdonald population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Mcdonald is shown in the following column.
• Population (Female): The female population in the Mcdonald is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Mcdonald for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Mcdonald Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Mcdonald by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Mcdonald across both sexes and to determine which sex constitutes the majority.

Key observations

There is a majority of female population, with 57.58% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Mcdonald is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Mcdonald total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Mcdonald Population by Race & Ethnicity. You can refer the same here

Graph and download economic data for Unemployment Rate in McDonald County, MO (MOMCDO9URN) from Jan 1990 to Jun 2025 about McDonald County, MO; Fayetteville; MO; unemployment; rate; and USA.

Xtract.io's comprehensive McDonald's location data provides a detailed view of the global fast-food chain's network. Restaurant investors, market researchers, and business analysts can utilize this dataset to analyze market penetration, identify expansion opportunities, and develop a sophisticated understanding of McDonald's geographical strategy.

Point of Interest (POI) data, also known as places data, provides the exact location of buildings, stores, or specific places. It has become essential for businesses to make smarter, geography-driven decisions in today's competitive landscape.

LocationsXYZ, the POI data product from Xtract.io, offers a comprehensive database of 6 million locations across the US, UK, and Canada, spanning 11 diverse industries, including:

-Retail -Restaurants -Healthcare -Automotive -Public utilities (e.g., ATMs, park-and-ride locations) -Shopping malls, and more

Why Choose LocationsXYZ? At LocationsXYZ, we: -Deliver POI data with 95% accuracy -Refresh POIs every 30, 60, or 90 days to ensure the most recent information -Create on-demand POI datasets tailored to your specific needs -Handcraft boundaries (geofences) for locations to enhance accuracy -Provide POI and polygon data in multiple file formats

Unlock the Power of POI Data With our point-of-interest data, you can: -Perform thorough market analyses -Identify the best locations for new stores -Gain insights into consumer behavior -Achieve an edge with competitive intelligence

LocationsXYZ has empowered businesses with geospatial insights, helping them scale and make informed decisions. Join our growing list of satisfied customers and unlock your business's potential with our cutting-edge POI data.

About this dataset

Context

The dataset tabulates the population of Mcdonald by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Mcdonald. The dataset can be utilized to understand the population distribution of Mcdonald by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Mcdonald. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Mcdonald.

Key observations

Largest age group (population): Male # 15-19 years (149) | Female # 40-44 years (173). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Mcdonald population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Mcdonald is shown in the following column.
• Population (Female): The female population in the Mcdonald is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Mcdonald for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Mcdonald Population by Gender. You can refer the same here

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Can stock prices be predicted? (MCD Stock Forecast)

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Census Tracts are statistical areas that do not always "nest" inside municipalities. The resources in this dataset provide a Census Tract identifier and lists the municipalities that each tract aligns with. This is for the entire DVRPC 9-county region.

Household name McDonald’s accounted for around ******* employees in 2024. This figure remained consistent with the previous two years. Overall, the number of McDonald's employees has more than halved in the past decade.