During a survey among marketers worldwide published in the second half of 2024, providing dynamic creative opportunities stood as the most recognized attribute of programmatic digital out-of-home (prDOOH) advertising, being listed by ** percent of respondents. Within digital out-of-home (DOOH) advertising, sustainable/eco-efficient reach and flexibility/efficiency to display when the right conditions are met ranked first, each chosen by ** percent of the interviewees.

The static ads market has become an essential component of digital advertising, providing brands with a straightforward yet effective way to engage audiences. These ads, typically featuring still images or graphics, serve as powerful visual messages that can communicate key brand information in an instant. They are

This statistic presents the frequency of online consumers who have made a purchase based on online or social media advertisements as of January 2019. According to the findings, 37.9 percent of respondents reported that they have made anywhere from one to 25 percent of the time a purchase after viewing either an online or social media advertisement.

Abbreviations: FEM, fixed-effects model; REM, random-effects model. EOAD, early-onset Alzheimer’s Disease; LOAD, late-onset Alzheimer’s Disease.rs6265: Codominant model, A vs. G; rs2030324: Codominant model, T vs C.

The Annual Statistical Supplement, 2022 includes the most comprehensive data available on the Social Security and Supplemental Security Income programs. More than 250 statistical tables convey a wide range of information about those programs from beneficiary counts and benefit amounts to the status of the trust funds. The tables also contain data on Medicare, Medicaid, veterans' benefits, and other related income security programs. The Supplement also includes summaries of the history of the major programs and of current legislative developments and a glossary of terms used in explaining the programs and data.

Learn how to produce basic estimates with the 2021 National Survey on Drug Use and Health (NSDUH). The report describes the techniques that were used to make the 2021 NSDUH Detailed Tables and the 2021 NSDUH Annual National Report, but users may also find these techniques useful for their own research with NSDUH. The report describes the calculation of estimates and sampling errors, degrees of freedom, and the procedures for determining when low-precision estimates should be suppressed. It also includes sample code in several statistical languages that data users can modify to use in their own research.Chapters:Introduction to the report.Background on the survey design, including redesign and questionnaire changes.Prevalence estimates and how they were calculated, including specifics on various topics presented in the detailed tables.Discussion of how missing item responses of variables that are not imputed may lead to biased estimates.Discussion of sampling errors and how they were calculated.Description of degrees of freedom and how they were used to compare estimates.Discussion of how the statistical significance of differences between estimates was determined.Discussion of confidence interval estimation.Discussion of when estimates with low precision were suppressed.Appendix A contains code samples for various statistical procedures documented within the report.

Andorra AD: Primary Education: Pupils data was reported at 4,271.000 Person in 2023. This records an increase from the previous number of 4,099.000 Person for 2022. Andorra AD: Primary Education: Pupils data is updated yearly, averaging 4,247.000 Person from Dec 1975 (Median) to 2023, with 24 observations. The data reached an all-time high of 4,492.000 Person in 2008 and a record low of 2,185.000 Person in 1975. Andorra AD: Primary Education: Pupils data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Andorra – Table AD.World Bank.WDI: Social: Education Statistics. Primary education pupils is the total number of pupils enrolled at primary level in public and private schools.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.;Sum;

The share of Gen Z who sometimes noticed out-of-home advertising in Canada stood at ***** percent in the spring of 2024, marking an increase from the previous year's value of ***** percent.

Advertising and related services, sales by type of client based on the North American Industry Classification System (NAICS)

National statistical systems are facing significant challenges. These challenges arise from increasing demands for high quality and trustworthy data to guide decision making, coupled with the rapidly changing landscape of the data revolution. To help create a mechanism for learning amongst national statistical systems, the World Bank has developed improved Statistical Performance Indicators (SPI) to monitor the statistical performance of countries. The SPI focuses on five key dimensions of a country’s statistical performance: (i) data use, (ii) data services, (iii) data products, (iv) data sources, and (v) data infrastructure. This will replace the Statistical Capacity Index (SCI) that the World Bank has regularly published since 2004.

The SPI focus on five key pillars of a country’s statistical performance: (i) data use, (ii) data services, (iii) data products, (iv) data sources, and (v) data infrastructure. The SPI are composed of more than 50 indicators and contain data for 186 countries. This set of countries covers 99 percent of the world population. The data extend from 2016-2023, with some indicators going back to 2004.

For more information, consult the academic article published in the journal Scientific Data. https://www.nature.com/articles/s41597-023-01971-0.

Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

Database for statistics on higher education (DBH) collects information about the activity at Norwegian universities, university colleges and vocational schools. The database contains information about education, research, employees, finances, areas etc. and is managed by the Directorate for Higher Education and Competence (HK-dir). The information constitutes a statistical bank where data can be retrieved programmatically via API or reports via screenshots, as well as as a special order upon request. There is a client that is linked to API and can be used for testing or ad hoc queries: https://dbh.hkdir.no/dbhapiklient/ The StatBank is divided by subject and table. Within each table, the user can create their own query. The query is designed in JSON format and can be tested in the client. Data is provided as CSV or JSON. Transfer is done via HTTPS or via the client. Data can be retrieved as a sample via the query, or as a whole data set (bulk data). Table 1 in the client provides an overview of the content of the API. Documentation: https://dbh.hkdir.no/static/files/dokumenter/api/api_dokumentasjon.pdf

The dataset comprises three dynamic scenes characterized by both simple and complex lighting conditions. The quantity of cameras ranges from 4 to 512, including 4, 6, 8, 10, 12, 14, 16, 32, 64, 128, 256, and 512. The point clouds are randomly generated.

A variety of mechanistic and statistical methods to forecast seasonal influenza have been proposed and are in use; however, the effects of various data issues and design choices (statistical versus mechanistic methods, for example) on the accuracy of these approaches have not been thoroughly assessed. Here, we compare the accuracy of three forecasting approaches—a mechanistic method, a weighted average of two statistical methods and a super-ensemble of eight statistical and mechanistic models—in predicting seven outbreak characteristics of seasonal influenza during the 2016–2017 season at the national and 10 regional levels in the USA. For each of these approaches, we report the effects of real time under- and over-reporting in surveillance systems, use of non-surveillance proxies of influenza activity and manual override of model predictions on forecast quality. Our results suggest that a meta-ensemble of statistical and mechanistic methods has better overall accuracy than the individual methods. Supplementing surveillance data with proxy estimates generally improves the quality of forecasts and transient reporting errors degrade the performance of all three approaches considerably. The improvement in quality from ad hoc and post-forecast changes suggest that domain experts continue to possess information that is not being sufficiently captured by current forecasting approaches.

In the second half of 2023, the number of connected TV (CTV) ad views in Europe increased by ** percent compared to what was reported in the second half of 2022. In 2023, European CTV ad spend grew roughly ** percent, as well.

The Outdoor Scrolling Sign, Poster, and Board market plays a pivotal role in modern advertising and communication strategies across various industries. This market encompasses an array of products designed to capture attention and convey messages effectively in outdoor environments. With the rise of digital signage,

Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).