The New York Times Annotated Corpus contains over 1.8 million articles written and published by the New York Times between January 1, 1987 and June 19, 2007 with article metadata provided by the New York Times Newsroom, the New York Times Indexing Service and the online production staff at nytimes.com. The corpus includes:

Over 1.8 million articles (excluding wire services articles that appeared during the covered period). Over 650,000 article summaries written by library scientists. Over 1,500,000 articles manually tagged by library scientists with tags drawn from a normalized indexing vocabulary of people, organizations, locations and topic descriptors. Over 275,000 algorithmically-tagged articles that have been hand verified by the online production staff at nytimes.com. As part of the New York Times' indexing procedures, most articles are manually summarized and tagged by a staff of library scientists. This collection contains over 650,000 article-summary pairs which may prove to be useful in the development and evaluation of algorithms for automated document summarization. Also, over 1.5 million documents have at least one tag. Articles are tagged for persons, places, organizations, titles and topics using a controlled vocabulary that is applied consistently across articles. For instance if one article mentions "Bill Clinton" and another refers to "President William Jefferson Clinton", both articles will be tagged with "CLINTON, BILL".

There were 6.54 million paid subscribers to The New York Time Company's digital-only news product in the first quarter of 2023. The trend from the years 2014 to 2022 showed consistent quarterly growth during that time period. New York Times subscriptions New York Times Company's digital-only subscriber number passed the one million mark in 2015, and the number of New York Times digital subscriptions has been steadily rising since the company implemented its pay wall in 2011.

As many newspapers and magazines have been struggling with low circulation in the last few years, paid content in digital formats is one of the solutions to make the business profitable. By 2025, U.S. publishers are predicted to generate about 2.9 billion U.S. dollars in revenues from the sales of digital newspapers. Advertising revenue Traditionally, advertising has been one of the main sources of revenue for the newspaper industry. In recent years however, newspaper advertising expenditure has been consistently declining, pushing newspaper companies to diversify its sources of revenue. For example, more than 60 percent of The New York Times Company's revenue in 2008 was generated by advertising, a share which had dropped to 30 percent by 2016. In 2020, The NYT’s ad revenue fell below 400 million U.S. dollars for the first time.

This statistic illustrates the share of readers of the New York Times in the past 2 weeks in the United States. As of September 2024, 29 percent of 18 - 29 year old consumers do so in the U.S. This is according to exclusive results from the Consumer Insights Global survey which shows that 25 percent of 30 - 49 year old customers also fall into this category.Statista Consumer Insights offer you all results of our exclusive Statista surveys, based on more than 2,000,000 interviews.

In 2023, the average weekday print circulation of The New York Times was approximately 279,000 copies, less than half the figure recorded in 2014. In that year, the company ceased publishing its figures based on weekday circulation for print, online, and other digital platforms, and published only its print circulation. The New York Times The New York Times was founded in 1851 and has been a household name in the United States for decades. The newspaper has adapted well to changes in the media industry, and between the final quarters of 2014 and 2020, paid subscribers to The New York Times’ digital only news product increased from 910 thousand to over five million. The New York Times is also one of the world’s leading podcast publishers, with unique streams and downloads of the company’s podcasts reaching tens and sometimes even hundreds of millions per month. Popularity and reliability As one of the most popular news websites in the United States, the NYT has been known to achieve 70 million unique monthly visitors, outperforming the likes of NBC News, The Washington Post, and The Guardian. That said, like many news publications, The New York Times has been the subject of controversy over the years. From accusations of liberal bias to its hiring practices, the newspaper has faced challenges regarding not only its published content but also its employees. In spite of this, just 15 percent of respondents to a survey seriously doubted the credibility of The New York Times, with most finding the publication to be a reliable source.

New York Times Försäljning - Aktuella värden, historiska data, prognoser, statistik, diagram och ekonomisk kalender - Mar 2025.Data for New York Times | Försäljning including historical, tables and charts were last updated by Trading Economics this last March in 2025.

In 2023, The New York Times Company generated over 505 million U.S. dollars in advertising revenue, marking a small drop from the previous but also a clear improvement from the lower results in 2020 and 2021. Meanwhile, The NYT’s subscription revenue continued to grow and surpassed 1.6 billion U.S. dollars for the first time in 2023.

The New York Times print circulation

According to the company’s financial reports, the average paid weekday print circulation of The New York Times remained above 340 thousand in 2021. A separate report ranked The NYT among the leading newspapers in the United States in terms of weekday print circulation, with more than double that of The Los Angeles Times or The Washington Post.

Whilst it is true that The NYT still has considerably more print copies in circulation than other papers, the figures are not what they once were. Back in 2000, The New York Times had an average weekday print circulation of over 1.1 million, and even in 2015, the number was still above 600 thousand. Further annual decreases can be expected as online news content, paid or otherwise, now takes precedence over printed publications.

Digital readership

The New York Times’ digital subscribers hit the five million mark in the final quarter of 2020, up by around 1,500 from the end of 2019. The company did, however, see a drop in its satisfaction rating between 2019 and 2020. Consumer satisfaction with online news brands generally fell in that time period, but The NYT saw the biggest decrease, losing six points year over year.

New York Times 배당 수익률 - 현재 값, 이력 데이터, 예측, 통계, 차트 및 경제 달력 - Mar 2025.Data for New York Times | 배당 수익률 including historical, tables and charts were last updated by Trading Economics this last March in 2025.

The New York Times Media Group's subscription revenue amounted to over 453 million U.S. dollars in the third quarter of 2024, up from nearly 419 million in the corresponding quarter of 2023. The New York Times' subscription revenue generally grows steadily over the course of each year, and the figure for Q4 2022 marked the first time that the company's quarterly subscription revenue surpassed 400 million U.S. dollars.

New York Times - 当前值，历史数据，预测，统计，图表和经济日历 - Mar 2025.Data for New York Times including historical, tables and charts were last updated by Trading Economics this last March in 2025.

Coronavirus (COVID-19) Data in the United States

[ U.S. State-Level Data (Raw CSV) | U.S. County-Level Data (Raw CSV) ]

The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. We are compiling this time series data from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak.

Since late January, The Times has tracked cases of coronavirus in real-time as they were identified after testing. Because of the widespread shortage of testing, however, the data is necessarily limited in the picture it presents of the outbreak.

We have used this data to power our maps and reporting tracking the outbreak, and it is now being made available to the public in response to requests from researchers, scientists, and government officials who would like access to the data to better understand the outbreak.

The data begins with the first reported coronavirus case in Washington State on Jan. 21, 2020. We will publish regular updates to the data in this repository.

United States Data

Data on cumulative coronavirus cases and deaths can be found in two files for states and counties.

Each row of data reports cumulative counts based on our best reporting up to the moment we publish an update. We do our best to revise earlier entries in the data when we receive new information.

Both files contain FIPS codes, a standard geographic identifier, to make it easier for an analyst to combine this data with other data sets like a map file or population data.

Download all the data or clone this repository by clicking the green "Clone or download" button above.

State-Level Data

State-level data can be found in the states.csv file. (Raw CSV file here.)

date,state,fips,cases,deaths
2020-01-21,Washington,53,1,0
...

County-Level Data

County-level data can be found in the counties.csv file. (Raw CSV file here.)

date,county,state,fips,cases,deaths
2020-01-21,Snohomish,Washington,53061,1,0
...

In some cases, the geographies where cases are reported do not map to standard county boundaries. See the list of geographic exceptions for more detail on these.

Methodology and Definitions

The data is the product of dozens of journalists working across several time zones to monitor news conferences, analyze data releases and seek clarification from public officials on how they categorize cases.

It is also a response to a fragmented American public health system in which overwhelmed public servants at the state, county and territorial levels have sometimes struggled to report information accurately, consistently and speedily. On several occasions, officials have corrected information hours or days after first reporting it. At times, cases have disappeared from a local government database, or officials have moved a patient first identified in one state or county to another, often with no explanation. In those instances, which have become more common as the number of cases has grown, our team has made every effort to update the data to reflect the most current, accurate information while ensuring that every known case is counted.

When the information is available, we count patients where they are being treated, not necessarily where they live.

In most instances, the process of recording cases has been straightforward. But because of the patchwork of reporting methods for this data across more than 50 state and territorial governments and hundreds of local health departments, our journalists sometimes had to make difficult interpretations about how to count and record cases.

For those reasons, our data will in some cases not exactly match the information reported by states and counties. Those differences include these cases: When the federal government arranged flights to the United States for Americans exposed to the coronavirus in China and Japan, our team recorded those cases in the states where the patients subsequently were treated, even though local health departments generally did not. When a resident of Florida died in Los Angeles, we recorded her death as having occurred in California rather than Florida, though officials in Florida counted her case in their records. And when officials in some states reported new cases without immediately identifying where the patients were being treated, we attempted to add information about their locations later, once it became available.

• Confirmed Cases

Confirmed cases are patients who test positive for the coronavirus. We consider a case confirmed when it is reported by a federal, state, territorial or local government agency.

• Dates

For each date, we show the cumulative number of confirmed cases and deaths as reported that day in that county or state. All cases and deaths are counted on the date they are first announced.

• Counties

In some instances, we report data from multiple counties or other non-county geographies as a single county. For instance, we report a single value for New York City, comprising the cases for New York, Kings, Queens, Bronx and Richmond Counties. In these instances, the FIPS code field will be empty. (We may assign FIPS codes to these geographies in the future.) See the list of geographic exceptions.

Cities like St. Louis and Baltimore that are administered separately from an adjacent county of the same name are counted separately.

• “Unknown” Counties

Many state health departments choose to report cases separately when the patient’s county of residence is unknown or pending determination. In these instances, we record the county name as “Unknown.” As more information about these cases becomes available, the cumulative number of cases in “Unknown” counties may fluctuate.

Sometimes, cases are first reported in one county and then moved to another county. As a result, the cumulative number of cases may change for a given county.

Geographic Exceptions

• New York City

All cases for the five boroughs of New York City (New York, Kings, Queens, Bronx and Richmond counties) are assigned to a single area called New York City.

• Kansas City, Mo.

Four counties (Cass, Clay, Jackson, and Platte) overlap the municipality of Kansas City, Mo. The cases and deaths that we show for these four counties are only for the portions exclusive of Kansas City. Cases and deaths for Kansas City are reported as their line.

• Alameda, Calif.

Counts for Alameda County include cases and deaths from Berkeley and the Grand Princess cruise ship.

• Chicago

All cases and deaths for Chicago are reported as part of Cook County.

License and Attribution

In general, we are making this data publicly available for broad, noncommercial public use including by medical and public health researchers, policymakers, analysts and local news media.

If you use this data, you must attribute it to “The New York Times” in any publication. If you would like a more expanded description of the data, you could say “Data from The New York Times, based on reports from state and local health agencies.”

If you use it in an online presentation, we would appreciate it if you would link to our U.S. tracking page at https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html.

If you use this data, please let us know at covid-data@nytimes.com and indicate if you would be willing to talk to a reporter about your research.

See our LICENSE for the full terms of use for this data.

This license is co-extensive with the Creative Commons Attribution-NonCommercial 4.0 International license, and licensees should refer to that license (CC BY-NC) if they have questions about the scope of the license.

Contact Us

If you have questions about the data or licensing conditions, please contact us at:

covid-data@nytimes.com

Contributors

Mitch Smith, Karen Yourish, Sarah Almukhtar, Keith Collins, Danielle Ivory, and Amy Harmon have been leading our U.S. data collection efforts.

Data has also been compiled by Jordan Allen, Jeff Arnold, Aliza Aufrichtig, Mike Baker, Robin Berjon, Matthew Bloch, Nicholas Bogel-Burroughs, Maddie Burakoff, Christopher Calabrese, Andrew Chavez, Robert Chiarito, Carmen Cincotti, Alastair Coote, Matt Craig, John Eligon, Tiff Fehr, Andrew Fischer, Matt Furber, Rich Harris, Lauryn Higgins, Jake Holland, Will Houp, Jon Huang, Danya Issawi, Jacob LaGesse, Hugh Mandeville, Patricia Mazzei, Allison McCann, Jesse McKinley, Miles McKinley, Sarah Mervosh, Andrea Michelson, Blacki Migliozzi, Steven Moity, Richard A. Oppel Jr., Jugal K. Patel, Nina Pavlich, Azi Paybarah, Sean Plambeck, Carrie Price, Scott Reinhard, Thomas Rivas, Michael Robles, Alison Saldanha, Alex Schwartz, Libby Seline, Shelly Seroussi, Rachel Shorey, Anjali Singhvi, Charlie Smart, Ben Smithgall, Steven Speicher, Michael Strickland, Albert Sun, Thu Trinh, Tracey Tully, Maura Turcotte, Miles Watkins, Jeremy White, Josh Williams, and Jin Wu.

Context

There's a story behind every dataset and here's your opportunity to share yours.# Coronavirus (Covid-19) Data in the United States

[ U.S. State-Level Data ([Raw

The New York Times is sharing the data files supporting their reporting on the COVID-19 outbreak. These files contain cumulative counts of COVID-19 cases and deaths (confirmed and probable) in the United States over time at the national, state, and county levels. Data collection is ongoing and is sourced from state and local governments and health departments.

New York Times - Aktuelle værdier, historiske data, prognoser, statistik, diagrammer og økonomisk kalender - Mar 2025.Data for New York Times including historical, tables and charts were last updated by Trading Economics this last March in 2025.

The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. We are compiling this time series data from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak.

Since late January, The Times has tracked cases of coronavirus in real time as they were identified after testing. Because of the widespread shortage of testing, however, the data is necessarily limited in the picture it presents of the outbreak.

We have used this data to power our maps and reporting tracking the outbreak, and it is now being made available to the public in response to requests from researchers, scientists and government officials who would like access to the data to better understand the outbreak.

The data begins with the first reported coronavirus case in Washington State on Jan. 21, 2020. We will publish regular updates to the data in this repository.

United States Data

Data on cumulative coronavirus cases and deaths can be found in two files for states and counties.

Each row of data reports cumulative counts based on our best reporting up to the moment we publish an update. We do our best to revise earlier entries in the data when we receive new information.

Both files contain FIPS codes, a standard geographic identifier, to make it easier for an analyst to combine this data with other data sets like a map file or population data.

State-Level Data

State-level data can be found in the us-states.csv file.

date,state,fips,cases,deaths
2020-01-21,Washington,53,1,0
...

County-Level Data

County-level data can be found in the us-counties.csv file.

date,county,state,fips,cases,deaths
2020-01-21,Snohomish,Washington,53061,1,0
...

In some cases, the geographies where cases are reported do not map to standard county boundaries. See the list of geographic exceptions for more detail on these.

Github Repository

This dataset contains COVID-19 data for the United States of America made available by The New York Times on github at https://github.com/nytimes/covid-19-data

This statistic shows public opinion on whether it was appropriate for the New York Times to publish data on Donald Trump's tax returns in the United States as of May 2019. The survey results revealed that 55 percent of respondents thought that it was appropriate for the New York Times to publish data on Donald Trump's tax returns, with just 29 percent deeming the publication of such data inappropriate.

There were 10.4 million paid digital subscribers to The New York Times Company in the third quarter of 2024, most of which were bundle and multiproduct subscribers. These subscribers pay for bundle subscription or a standalone online-only subscription to two or more of The NYT's products, and at last count the number of subscribers amounted to over 5.1 million.

New York Times Vermögenswerte - Diese Werte, historische Daten, Prognosen, Statistiken, Diagramme und ökonomische Kalender - Mar 2025.Data for New York Times | Vermögenswerte including historical, tables and charts were last updated by Trading Economics this last March in 2025.

In 2023, The New York Times Company had 5,900 full-time equivalent employees, including over 2,700 in the company's journalism operations. After a sharp drop in employee numbers between 2012 and 2013 due to the company’s sale of New England Media Group, there were just 3,529 people working for The NYT Company, but the figure has grown more or less consistently year-on-year ever since.

The NYT Company has various media properties, NYTimes.com, as well as The New York Times Magazine, Book Review, Style Magazine, and International Edition, and most notably, namesake newspaper The New York Times, which is arguably the company’s most successful product. The New York Times employees: diversity The New York Times performs well as far as gender equality is concerned. Data on employee gender distribution at The New York Times shows that the share of men and women working for the company tends to hover around 50 percent, outperforming competing newspaper The Washington Post in this regard. The breakdown of employees by gender at The Washington Post reveals that the share of women working for the newspaper increased by just three percent in five years, and male employees still account for close to 60 percent of the total workforce.

By contrast, The Washington Post reported that 20 percent of its workforce in 2020 was Black or African American, whereas at The NYT the figure was just nine percent. The distribution of employees at The New York Times by ethnicity revealed that over 60 percent of the company’s workforce was White, and the only other ethnic group with representation of more than ten percent were Asian employees, who made up 14 percent of NYT employees in 2020.

In 2022, The New York Times Company's circulation revenue amounted to more than 1.65 billion U.S. dollars. The company's overall revenue increased consistently between 2012 and 2023, and first surpassed one billion U.S. dollars in 2017. The New York Times has also successfully grown its digital audience.

The New York Times: the switch to digital

As readers moved away from print newspapers to online outlets, The NYT chose to capitalize on this. In early 2014, The New York Times Company’s digital-only news product had fewer than 800 thousand U.S. subscribers, but by the end of 2020 had amassed more than five million.

The NYT online

The company’s website has also performed well in recent years and ranks among the leading global English-language news websites in the United States. NYTimes.com regularly attracts millions of unique visitors each month, and a study on news consumption found that The NYT was one most used online news brands among U.S. adults in early 2021.

This dataset is about companies and is filtered where the company includes The New York Times, featuring 25 columns including CEO, CEO approval, CEO gender, city, and company. The preview is ordered by revenues (descending).

This survey is part of an ongoing data collection effort by CBS News and The New York Times. Interviews were conducted with voters as they left the polls on election day, November 8, 1988. Respondents were asked about their vote choices in the presidential, senate, and gubernatorial races, the issues and factors that most influenced those votes, and whether they felt George Bush and Michael Dukakis spent more time explaining their stands on the issues or attacking each other. Other items included respondents' opinions on the condition of the United States economy, their presidential vote choice in 1984, when they made their presidential choice in the current election, and the strength of that choice. Demographic information collected includes sex, race, age, employment status, religion, education, political party identification, and family income.