This statistic shows the print and digital reach of The Independent, The Independent on Sunday and i newspaper in the United Kingdom (UK) from ************ to **********. In the months from January to *************, roughly *** million individuals were reached by The Independent on Sunday and i or their website.

This statistic displays the number of website visitors to independent.co.uk, the website of The Independent as well as The Independent on Sunday newspaper titles in the United Kingdom (UK) in selected months from November 2013 to March 2017. The website had roughly *** million visitors in March 2016.

Independent Bank reported $91.41M in Interest Expense on Debt for its fiscal quarter ending in September of 2025. Data for Independent Bank | INDB - Interest Expense On Debt including historical, tables and charts were last updated by Trading Economics this last December in 2025.

In 2017, an estimated ***** million U.S. creators earned income posting their personal creations on social media platforms. In the most recently reported period, ******* independent creators used Amazon Publishing to publish their published works independent without need of using traditional channels. This represents a *** decline from the previous year. Additionally, over ******* indie creators utilized Etsy to showcase and sell their products, instead of going through conventional retail mediums.

Financial overview and grant giving statistics of Commission on Independent Colleges & Universities

Financial overview and grant giving statistics of New York Association on Independent Living

Techsalerator's News Events Data for Ireland: A Comprehensive Overview

Techsalerator's News Events Data for Ireland offers a robust resource for businesses, researchers, and media organizations. This dataset compiles information on significant news events across Ireland, drawing from a diverse array of media sources, including newspapers, online publications, and social platforms. It provides valuable insights for those looking to track trends, analyze public sentiment, or monitor industry-specific developments.

Key Data Fields - Event Date: Captures the exact date of the news event. This is essential for analysts who need to monitor trends over time or for businesses responding to market shifts. - Event Title: A brief headline describing the event. This allows users to quickly categorize and assess news content based on relevance to their interests. - Source: Identifies the news outlet or platform where the event was reported. This helps users track credible sources and assess the reach and influence of the event. - Location: Provides geographic information, indicating where the event took place within Ireland. This is particularly valuable for regional analysis or localized marketing efforts. - Event Description: A detailed summary of the event, outlining key developments, participants, and potential impact. Researchers and businesses use this to understand the context and implications of the event.

Top 5 News Categories in Ireland - Politics: Major news coverage on government decisions, political movements, elections, and policy changes that affect the national landscape. - Economy: Focuses on Ireland’s economic indicators, inflation rates, international trade, and corporate activities influencing business and finance sectors. - Social Issues: News events covering public health, education, social justice, and other societal concerns that drive public discourse. - Sports: Highlights events in football, rugby, and other popular sports, often drawing widespread attention and engagement across the country. - Technology and Innovation: Reports on tech developments, startups, and innovations in Ireland’s expanding tech sector, featuring companies like Stripe and Intercom.

Top 5 News Sources in Ireland - The Irish Times: A leading newspaper offering comprehensive coverage of politics, economy, and social issues. - The Independent: Provides in-depth reporting on a wide range of topics including politics, business, and current affairs. - RTÉ News: The national broadcaster, delivering real-time updates on breaking news, sports, and entertainment. - The Irish Examiner: Known for its coverage of regional news, social issues, and investigative journalism. - TheJournal.ie: An online news platform offering up-to-date reports on current events, politics, and lifestyle topics.

Accessing Techsalerator’s News Events Data for Ireland To access Techsalerator’s News Events Data for Ireland, please contact info@techsalerator.com with your specific needs. We will provide a customized quote based on the data fields and records you require, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields - Event Date - Event Title - Source - Location - Event Description - Event Category (Politics, Economy, Sports, etc.) - Participants (if applicable) - Event Impact (Social, Economic, etc.)

Techsalerator’s dataset is an invaluable tool for keeping track of significant events in Ireland. It aids in making informed decisions, whether for business strategy, market analysis, or academic research, providing a clear picture of the country’s news landscape.

This study used three different models with different regression techniques to analyze the effect of relative economic and military power on grand strategy choice. The first model used a time series logit analysis to look at the effect of a series of lagged independent variables on whether a power adopts a pro or anti status quo posture. The second model used a time series multivariate OLS regression model to analyze the effect of the same independent variables on the risk of major war which a great power assumes the following year. The third model combined the first two models by using a robust multinomial logit analysis to examine the effect of the lagged independent variables on the odds of a nation adopting each of the four overarching grand strategies the following year.The dependent variable for the first model, whether a country is Anti-status Quo, is a dummy variable coded 1 if a nation is attempting to dramatically change its place in the current world order (ex. going from minor to major power, or going from major power to hegemon) at the expense of another power, or if a nation makes significant efforts to isolate itself from the current world order. The dependent variable for the second model is the Probability of a Major War, generated from a time series multivariate logit analysis using a dummy dependent variable coded 1 for years a country was involved in a major war, and independent lagged dummy variables coded 1 for years a country used the following strategies: Voluntary War, Binding, Blackmail / Subversion, Bloodletting, Internal Balancing, External Balancing, Buck passing / Retrenchment, Appeasement and Bandwagoning. Finally, the third dependent variable, Grand Strategy, was coded 0 for Legalist, 1 for Isolationist, 2 for Interventionist and 3 for Revisionist. The Grand Strategy variable represents a simplified version of Trubowitz’s typography of grand strategies found in his book Politics and Strategy, with his listed strategies condensed down to four overarching strategies. With respect to the independent variables, all three models use lagged versions of the following variables: relative military expenditure, relative military personnel, relative GDP, relative GDP per capita, nation age, homeland vulnerability, government type, economic system, and polity 2 score. These variables were either taken directly or derived from publicly available data provided by the Correlates of War Project, Polity IV Project, and OECD. Each of the sub strategy variables was coded based on the historical record. Other potential measures were considered, such as years great power, exports, and others, but many of these were dropped after correlational analysis indicated significant overlap with other variables. Finally, when appropriate, robust regression techniques were used in order to address potential problems with heteroscedasticity, auto correlation and others.

This dataset pertains to a research project investigating the social, cultural, and economic consequences of COVID19 on independent arts workers, specifically in the theatre sector, across England, Scotland, Wales, and Northern Ireland. The project recognised the unique vulnerability of this workforce in dealing with the impact of COVID19. Their workplaces closed overnight and their sector transformed as theatres moved to digital delivery, and their employment status (freelance) made them ineligible for the UK government’s Coronavirus Job Retention Scheme. The motivation of the project was to understand: the employment experiences of this workforce during the first 18 months of the pandemic; how the pandemic affected their planning for the future; how the pandemic changed their creative practices and skills; what impact government and sectoral policy had on the workforce; and to find strategies for government and industry to support this precarious workforce. This data collection includes survey responses (n=397) to an online survey which ran from 23/11/2020 to 19/03/2021,

Information on nature of complaint issues being investigated, service category, and outcome of investigation.

This dataset belongs to a paper about independent researchers submitted for the STI conference 2024 (https://sti2024.org/). It consists of several files described below. The data is from OpenAlex, collected through the InSySPo instance of the february snapshot of OpenAlex, hosted on Google Cloud. Since Topics are a new feature of OpenAlex data and therefore not part of the snapshot, this data as well as some other data not available at the InSySPo instance at the time of collection have been collected through the OpenAlex API, and incorporated in the files. Data from Scopus and Web of Science may be retrieved by using the search string in the appendix of the article.

Financial overview and grant giving statistics of Pennsylvania Council on Independent Living

The Independent had a monthly audience of over 28.1 million individuals from April 2019 to March 2020 in the United Kingdom. Reach was higher among adults over the age of 35 than for the 15 to 35 age group, with 19.2 million and 8.9 million readers respectively. The Independent on the internet

The Independent was established as a broadsheet paper in 1986 but after 30 years it stopped printed editions and is now an online only news publisher. However, it was not in the top ten most accessed online news brands in the UK in 2019, being placed 15th on a list topped by BBC News online.

Online news popularity

In a 2019 survey in the UK, it was revealed that the most popular printed or online newspaper (in terms of people holding a positive opinion of the paper) was the Metro. The Independent was seventh most popular with a positivity rating of 28 percent.

Laos LA: International Migrant Stock: Total data was reported at 22,244.000 Person in 2015. This records an increase from the previous number of 21,185.000 Person for 2010. Laos LA: International Migrant Stock: Total data is updated yearly, averaging 21,597.500 Person from Dec 1960 (Median) to 2015, with 12 observations. The data reached an all-time high of 26,990.000 Person in 1980 and a record low of 19,646.000 Person in 1960. Laos LA: International Migrant Stock: Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Laos – Table LA.World Bank: Population and Urbanization Statistics. International migrant stock is the number of people born in a country other than that in which they live. It also includes refugees. The data used to estimate the international migrant stock at a particular time are obtained mainly from population censuses. The estimates are derived from the data on foreign-born population--people who have residence in one country but were born in another country. When data on the foreign-born population are not available, data on foreign population--that is, people who are citizens of a country other than the country in which they reside--are used as estimates. After the breakup of the Soviet Union in 1991 people living in one of the newly independent countries who were born in another were classified as international migrants. Estimates of migrant stock in the newly independent states from 1990 on are based on the 1989 census of the Soviet Union. For countries with information on the international migrant stock for at least two points in time, interpolation or extrapolation was used to estimate the international migrant stock on July 1 of the reference years. For countries with only one observation, estimates for the reference years were derived using rates of change in the migrant stock in the years preceding or following the single observation available. A model was used to estimate migrants for countries that had no data.; ; United Nations Population Division, Trends in Total Migrant Stock: 2012 Revision.; Sum;

China BERD: % of Value Added data was reported at 2.295 % in 2021. This records an increase from the previous number of 2.281 % for 2020. China BERD: % of Value Added data is updated yearly, averaging 1.125 % from Dec 1991 (Median) to 2021, with 31 observations. The data reached an all-time high of 2.295 % in 2021 and a record low of 0.268 % in 1996. China BERD: % of Value Added data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s China – Table CN.OECD.MSTI: Business Enterprise Investment on Research and Development: Non OECD Member: Annual.

Definition of MSTI variables 'Value Added of Industry' and 'Industrial Employment':

R&D data are typically expressed as a percentage of GDP to allow cross-country comparisons. When compiling such indicators for the business enterprise sector, one may wish to exclude, from GDP measures, economic activities for which the Business R&D (BERD) is null or negligible by definition. By doing so, the adjusted denominator (GDP, or Value Added, excluding non-relevant industries) better correspond to the numerator (BERD) with which it is compared to.

The MSTI variable 'Value added in industry' is used to this end:

It is calculated as the total Gross Value Added (GVA) excluding 'real estate activities' (ISIC rev.4 68) where the 'imputed rent of owner-occupied dwellings', specific to the framework of the System of National Accounts, represents a significant share of total GVA and has no R&D counterpart. Moreover, the R&D performed by the community, social and personal services is mainly driven by R&D performers other than businesses.

Consequently, the following service industries are also excluded: ISIC rev.4 84 to 88 and 97 to 98. GVA data are presented at basic prices except for the People's Republic of China, Japan and New Zealand (expressed at producers' prices).In the same way, some indicators on R&D personnel in the business sector are expressed as a percentage of industrial employment. The latter corresponds to total employment excluding ISIC rev.4 68, 84 to 88 and 97 to 98.

China Government Researchers: % of National Total data was reported at 17.077 % in 2022. This records a decrease from the previous number of 17.214 % for 2021. China Government Researchers: % of National Total data is updated yearly, averaging 19.848 % from Dec 1991 (Median) to 2022, with 32 observations. The data reached an all-time high of 44.077 % in 1992 and a record low of 15.007 % in 2008. China Government Researchers: % of National Total data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s China – Table CN.OECD.MSTI: Number of Researchers and Personnel on Research and Development: Non OECD Member: Annual.

The national breakdown by source of funds does not fully match with the classification defined in the Frascati Manual. The R&D financed by the government, business enterprises, and by the rest of the world can be retrieved but part of the expenditure has no specific source of financing, i.e. self-raised funding (in particular for independent research institutions), the funds from the higher education sector and left-over government grants from previous years.

The government and higher education sectors cover all fields of NSE and SSH while the business enterprise sector only covers the fields of NSE. There are only few organisations in the private non-profit sector, hence no R&D survey has been carried out in this sector and the data are not available.

From 2009, researcher data are collected according to the Frascati Manual definition of researcher. Beforehand, this was only the case for independent research institutions, while for the other sectors data were collected according to the UNESCO concept of “scientist and engineer”.

In 2009, the survey coverage in the business and the government sectors has been expanded.

Before 2000, all of the personnel data and 95% of the expenditure data in the business enterprise sector are for large and medium-sized enterprises only. Since 2000 however, the survey covers almost all industries and all enterprises above a certain threshold. In 2000 and 2004, a census of all enterprises was held, while in the intermediate years data for small enterprises are estimated.

Due to the reform of the S&T system some government institutions have become enterprises, and their R&D data have been reflected in the Business Enterprise sector since 2000.