Columbia Financial common stock net from 2017 to 2025. Common stock net can be defined as the value of common equity ownership.

In 2024, the most common property crime recorded in Colombia was robbery against persons, with 310,000 cases. The second most common crime was vehicle theft, with nearly 50,000 incidents.

How high is the brand awareness of Columbia in the United States?When it comes to outdoor fashion owners, brand awareness of Columbia is at 88% in the United States. The survey was conducted using the concept of aided brand recognition, showing respondents both the brand's logo and the written brand name.How popular is Columbia in the United States?In total, 60% of U.S. outdoor fashion owners say they like Columbia. However, in actuality, among the 88% of U.S. respondents who know Columbia, 68% of people like the brand.What is the usage share of Columbia in the United States?All in all, 53% of outdoor fashion owners in the United States own Columbia. That means, of the 88% who know the brand, 60% own them.How loyal are the owners of Columbia?Around 44% of outdoor fashion owners in the United States say they are likely to purchase Columbia again. Set in relation to the 53% usage share of the brand, this means that 83% of their owners show loyalty to the brand.What's the buzz around Columbia in the United States?In March 2024, about 34% of U.S. outdoor fashion owners had heard about Columbia in the media, on social media, or in advertising over the past three months. Of the 88% who know the brand, that's 39%, meaning at the time of the survey there's some buzz around Columbia in the United States.

Columbia Banking System common stock net from 2010 to 2025. Common stock net can be defined as the value of common equity ownership.

This dataset provides information about the number of properties, residents, and average property values for Columbia Common cross streets in Hillsborough, NJ.

Dataset Containing 173 College Common Data Sets

Contains Common Data Sets for the Following Schools:

• Alabama State University
• Angelo State University
• Arapahoe Community College
• Arkansas Tech University
• Aurora University
• Baldwin Wallace University
• Beloit College
• Bemidji State University
• Berea College
• Binghamton University
• Boston University
• Bucknell University
• Cabrini University
• California Baptist University
• California State University, Bakersfield
• California State University, Long Beach
• California State University, Los Angeles
• California State University, Sacramento
• Carnegie Mellon University
• Case Western Reserve University
• Christopher Newport University
• Clark University
• Colby College
• College of Charleston
• Collin College
• Colorado College
• Colorado School of Mines
• Colorado State University-Pueblo
• Columbia College
• Concordia University Texas
• Cornell University
• Davidson College
• Delaware Technical Community College
• DeSales University
• Dickinson College
• Drake University
• Drew University
• Duquesne University
• East Central University
• Eastern Washington University
• Embry Riddle Aeronautical University-Daytona Beach
• Fairfield University
• Florida Gulf Coast
• Florida International University
• Fort Hays State University
• Georgia Institute Of Technology
• Gettysburg College
• Hamilton College
• Hollins University
• Humboldt State University
• Iowa State University
• Jackson State University
• John Jay College of Criminal Justice
• Kennesaw State University
• Lafayette College
• Lane College
• Lee University
• Le Moyne College
• Lenoir Rhyne University
• Life University
• Loyola University Maryland
• Lubbock Christian University
• Lycoming College
• Lynn University Common Data Set
• Malone University
• Marlboro College
• Maryville University
• Massachusetts Maritime Academy
• Metropolitan State University of Denver
• Michigan Technological University
• Middlebury College
• Millersville University
• Mississippi State University
• Mott Community College
• Neumann University
• Northeastern State University
• Northern Arizona University
• Northern Kentucky University
• Nyack College
• Oklahoma Christian University
• Oklahoma State University
• Old Dominion University
• Oral Roberts University
• Pepperdine University
• Pomona College
• Prescott College
• Providence College
• Reed College
• Regis University
• Rensselaer Polytechnic Institute
• Rice University
• Rochester College
• Rutgers University
• Saint Vincent College
• San Francisco State University
• Santa Clara University
• Scripps College
• Seton Hill University
• Sewanee
• Shippensburg University
• Simpson University
• Slippery Rock University
• Smith College
• Sonoma State University
• Southeastern Community College
• Southeastern Oklahoma State University
• Southwestern Oklahoma State University
• Springfield College
• St. Ambrose University
• Stanford University
• Stephen F. Austin State University
• SUNY Oneonta
• SUNY Potsdam
• Sweet Briar College
• Taylor University
• Temple University
• Tennessee Wesleyan University
• Texas A&M University - Kingsville
• Texas A&M University
• Texas Wesleyan University
• The College at Brockport
• The College of New Jersey
• The University of Scranton
• The University of Southern Mississippi
• The University of Tennessee
• Trinity University
• Tufts University
• Tulane University
• Tulsa Community College
• University at Buffalo
• University Enrollment
• University of California - Davis
• University of California, Riverside
• University of Colorado Boulder, 2015
• University of Delaware
• University of Kentucky
• University of Louisville
• University of Maine
• University of Missouri
• University of Montana
• University of Mount Olive: 2016
• University of Nebraska Kearney
• University of Nebraska-Lincoln
• University of Nevada, Reno
• University of New Hampshire
• University of New Mexico
• University of North Alabama
• University of North Carolina at Charlotte
• University of Pennsylvania
• University of Pikeville
• University of Puget Sound
• University of Science and Arts
• University of Texas Rio
• University of the Sciences in Philadelphia
• University of Wisconsin
• University Wide Common Data Set 2015
• Villanova University
• Virginia Commonwealth University
• Washburn University
• Washington and Lee University
• Washington College
• Weber State University
• Wellesley College
• Wesleyan University
• Westfield State University
• Westminster College
• Wheaton College
• Whitman College
• Widener University
• Worcester Polytechnic Institute
• Xavier University of Louisiana
• Xavier University
• Yale University

This dataset provides information about the number of properties, residents, and average property values for Oxford Commons Way cross streets in Columbia, SC.

A two-week field operation was conducted in the John Day Reservoir on the Columbia River to image the floor of the pool, to measure the distribution and thickness of post-impoundment sediment, and to verify these geophysical data with video photography and bottom sediment samples. The field program was a cooperative effort between the USGS Coastal and Marine Geology Team of the Geologic Division and the USGS Columbia River Research Laboratory of the Biological Resources Division. The data collection was completed aboard the R/V ESTERO during September 13-27, 2000. The interest in sediment accumulation in the reservoir was two-fold. First, it was unknown how effective this reservoir was as a sediment trap to material that otherwise would have been transported down-river to the estuary and eventually to the ocean. The recent erosion of beaches along the Washington coast has been attributed to a decreased contribution of sediment from the Columbia River to the coastal system due to the damming of the river. Second, sediment accumulation on the floors of reservoirs along the Columbia River has been suggested to be diminishing salmon spawning grounds. The extent of changes in habitat since construction of the John Day Dam, however, had not been documented. Common data sets were needed to address both of these questions, and for these reasons this geophysical and sampling program was undertaken.

Coca-Cola was the most chosen beverage brand in Colombia in 2023, with **** million Consumer Reach Points (CRP) in the ranking. Ranking second was Pony Malta, with **** million CRPs, followed by Sello Rojo, with **** million CRPs. In that year, the dairy brand Coca-Cola was also the leading fast moving consumer goods (FMCG) brand in Colombia.

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.

COLM Columbia Sportswear Company Common Stock

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

This dataset provides information about the number of properties, residents, and average property values for Ashewood Commons Drive cross streets in Columbia, SC.

This dataset provides information about the number of properties, residents, and average property values for Colonial Commons Lane cross streets in Columbia, SC.

Columbia Financial eps - earnings per share from 2017 to 2025. Eps - earnings per share can be defined as a company's net earnings or losses attributable to common shareholders per diluted share base, which includes all convertible securities and debt, options and warrants.

"Liked posts by other users or followed people" and "Sent private messages" are the top two answers among Colombian consumers in our survey on the subject of "Most common social media activities".The survey was conducted online among 2,078 respondents in Colombia, in 2024. Statista Consumer Insights offer you all results of our exclusive Statista surveys, based on more than 2,000,000 interviews.

Columbia Banking System eps - earnings per share from 2010 to 2025. Eps - earnings per share can be defined as a company's net earnings or losses attributable to common shareholders per diluted share base, which includes all convertible securities and debt, options and warrants.

The data set combines the best available roads data by country into a global roads coverage, using the UN Spatial Data Infrastructure Transport (UNSDI-T) version 2 as a common data model. The purpose is to provide an open access, well documented global data set of roads between settlements using a consistent data model (UNSDI-T v.2) which is, to the extent possible, topologically integrated.Dataset SummaryThe Global Roads Open Access Data Set, Version 1 (gROADSv1) was developed under the auspices of the CODATA Global Roads Data Development Task Group. The data set combines the best available roads data by country into a global roads coverage, using the UN Spatial Data Infrastructure Transport (UNSDI-T) version 2 as a common data model. All country road networks have been joined topologically at the borders, and many countries have been edited for internal topology. Source data for each country are provided in the documentation, and users are encouraged to refer to the readme file for use constraints that apply to a small number of countries. Because the data are compiled from multiple sources, the date range for road network representations ranges from the 1980s to 2010 depending on the country (most countries have no confirmed date), and spatial accuracy varies. The baseline global data set was compiled by the Information Technology Outreach Services (ITOS) of the University of Georgia. Updated data for 27 countries and 6 smaller geographic entities were assembled by Columbia University's Center for International Earth Science Information Network (CIESIN), with a focus largely on developing countries with the poorest data coverage.Documentation for the Global Roads Open Access Data Set, Version 1 (gROADSv1)Recommended CitationCenter for International Earth Science Information Network - CIESIN - Columbia University, and Information Technology Outreach Services - ITOS - University of Georgia. 2013. Global Roads Open Access Data Set, Version 1 (gROADSv1). Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://dx.doi.org/10.7927/H4VD6WCT. Accessed DAY MONTH YEAR.

This dataset includes various facilities used for fisheries management in the Columbia Basin, as well as key hydroelectric dams throughout the Basin. For the purposes of this dataset, a facility is a fixed or semi-fixed location where fish are managed, counted or passed, and generally where there is at least one data record in a Pacific States Marine Fisheries Commission(PSMFC) database. Not all dams fall neatly within this definition, but are included since they are a significant factor in fish distribution. A primary objective of this dataset is to link PSMFC's Columbia Basin fish data programs through a common location framework, while eliminating the redundancy of location data being mapped and managed by the individual program. While the facility location data will be managed by the PSMFC GIS Center as a single dataset, facilities can be separated and published into multiple map layers based on facility type or other attributes. Sources for these point data came primarily from Programs within the Pacific States Marine Fisheries Commission (PSMFC), including StreamNet, PIT Tag Information System(PTAGIS), and the Regional Mark Processing Center(RMPC), and their various state and federal partners. Locations have been checked and in some cases modified, to more closely match available imagery and/or regional hydrography, as appropriate. Inclusion in the dataset or depiction in the mapper does not mean that the facility is currently active. Basic types of fish facilities currently include:• Hatcheries, acclimation / release sites• Dams (categorized further for display purposes)• Fish traps & collection facilities (including screw traps, weir traps, etc.)• Fish passage facilities (including fish ladders and juvenile fish bypasses)• PTAGIS instream remote detection facilities** Note that not all PTAGIS sites are depicted in this dataset.We strive for accuracy and completeness, but expect that improvements to the dataset can be made. If you have any corrections, additions, suggestions, or concerns, please contact gis@psmfc.org

This dataset contains records for each public elementary and secondary school in the 50 states, the District of Columbia, and outlying areas (American Samoa, Guam, Puerto Rico, the Virgin Islands, and the Marshall Islands) for 1978-1979. Each public elementary and secondary school is identified by the local education agency (LEA) to which it belongs. Data were reported to the National Center for Education Statistics by the state education agencies. Records in this file provide the name and address of the school, name of the school district or other education agency that operates the school, type code for the school, number of full-time equivalent classroom teachers, and the fall enrollment.

92 percent of Colombian respondents answer our survey on "Most common insurances by type" with "Health insurance". The survey was conducted in 2024, among 1,041 consumers.Access millions of exclusive survey results with Statista Consumer Insights.

The project as described was to chemically treat invasive Phragmites (aka, common reed) along Lower Crab Creek within the MP31 Fire area, to protect Burned Area Rehabilitation (BAR) treatments. The MP31 Fire burned a portion of the Lower Crab Creek area in 2012; multiple integrated rehabilitation treatments were undertaken in response. Phragmites had expanded into the burned area to an unforeseen degree, threatening the rehab treatments. Phragmites is a highly aggressive invader that will form monocultures at the expense of native habitats. This invasion required an aggressive response to protect the substantial investment. BAR funding was no longer available for this response.