This statistic presents the share of children wearing school uniforms in the United States from 2008 to 2018. In 2015, **** percent of respondents stated that their children were required to wear a school uniform.

The Uniform Appraisal Dataset (UAD) Aggregate Statistics Data File and Dashboards are the nation’s first publicly available datasets of aggregate statistics on appraisal records, giving the public new access to a broad set of data points and trends found in appraisal reports. The UAD Aggregate Statistics for Enterprise Single-Family, Enterprise Condominium, and Federal Housing Administration (FHA) Single-Family appraisals may be grouped by neighborhood characteristics, property characteristics and different geographic levels.DocumentationOverview (10/28/2024)Data Dictionary (10/28/2024)Data File Version History and Suppression Rates (12/18/2024)Dashboard Guide (2/3/2025)UAD Aggregate Statistics DashboardsThe UAD Aggregate Statistics Dashboards are the visual front end of the UAD Aggregate Statistics Data File. The Dashboards are designed to provide easy access to customized maps and charts for all levels of users. Access the UAD Aggregate Statistics Dashboards here.UAD Aggregate Statistics DatasetsNotes:Some of the data files are relatively large in size and will not open correctly in certain software packages, such as Microsoft Excel. All the files can be opened and used in data analytics software such as SAS, Python, or R.All CSV files are zipped.

This statistic represents the public opinion of the French regarding the reinstatement of the school uniform in August 2017. According to the survey, more than 30 percent of respondents were rather favorable to the compulsory use of uniforms in school.

Africa School Uniform Market is expected to grow at a CAGR of 16.1% and is anticipated to reach around USD20,000 Mn by 2026. School uniforms are worn by primary, middle or senior schools in various parts of the world. African schools also have uniforms in both public and private sector schools.

The table WA- Uniform Data is part of the dataset L2 Uniform Voter Data, available at https://columbia.redivis.com/datasets/5dss-024bh1rkk. It contains 4971024 rows across 779 variables.

The table MS- Uniform Data is part of the dataset L2 Uniform Voter Data, available at https://columbia.redivis.com/datasets/5dss-024bh1rkk. It contains 1943139 rows across 779 variables.

The Uniform Facility Data Set (UFDS) was designed to measure the scope and use of drug abuse treatment services in the United States. The survey collects information from each privately- and publicly-funded facility in the country that provides substance abuse treatment as well as from state-identified facilities that provide other substance abuse services. Data are collected on a number of topics including facility operation, services provided (assessment, therapy, testing, health, continuing care, special programs, transitional services, community outreach, ancillary), type of treatment, numbers of clients, and various client characteristics. The main objective of the UFDS is to produce data that can be used to assess the nature and extent of substance abuse treatment services, to assist in the forecast of treatment resource requirements, to analyze treatment service trends, to conduct national, regional, and state-level comparative analyses of treatment services and utilization, and to generate the National Directory of Drug and Alcohol Abuse Treatment Programs and its on-line equivalent, the Substance Abuse Treatment Facility Locator http://findtreatment.samhsa.gov/.This study has 1 Data Set.

Investigator(s): Federal Bureau of Investigation Since 1930, the Federal Bureau of Investigation (FBI) has compiled the Uniform Crime Reports (UCR) to serve as periodic nationwide assessments of reported crimes not available elsewhere in the criminal justice system. With the 1977 data, the title was expanded to Uniform Crime Reporting Program Data. Each year, participating law enforcement agencies contribute reports to the FBI either directly or through their state reporting programs. ICPSR archives the UCR data as five separate components: (1) summary data, (2) county-level data, (3) incident-level data (National Incident-Based Reporting System [NIBRS]), (4) hate crime data, and (5) various, mostly nonrecurring, data collections. Summary data are reported in four types of files: (a) Offenses Known and Clearances by Arrest, (b) Property Stolen and Recovered, (c) Supplementary Homicide Reports (SHR), and (d) Police Employee (LEOKA) Data (Law Enforcement Officers Killed or Assaulted). The county-level data provide counts of arrests and offenses aggregated to the county level. County populations are also reported. In the late 1970s, new ways to look at crime were studied. The UCR program was subsequently expanded to capture incident-level data with the implementation of the National Incident-Based Reporting System. The NIBRS data focus on various aspects of a crime incident. The gathering of hate crime data by the UCR program was begun in 1990. Hate crimes are defined as crimes that manifest evidence of prejudice based on race, religion, sexual orientation, or ethnicity. In September 1994, disabilities, both physical and mental, were added to the list. The fifth component of ICPSR's UCR holdings is comprised of various collections, many of which are nonrecurring and prepared by individual researchers. These collections go beyond the scope of the standard UCR collections provided by the FBI, either by including data for a range of years or by focusing on other aspects of analysis. NACJD has produced resource guides on UCR and on NIBRS data.

An object detection model used to classify and detect uniform attributes based on Santa Laurensia Highschool regulations.

Since 1930, the Federal Bureau of Investigation has compiled the Uniform Crime Reports (UCR) to serve as periodic nationwide assessments of reported crimes not available elsewhere in the criminal justice system. Law enforcement agencies contribute reports either directly or through their state reporting programs. Each year, this information is reported in four types of files: (1) Offenses Known and Clearances by Arrest, (2) Property Stolen and Recovered, (3) Supplementary Homicide Reports (SHR), and (4) Police Employee (LEOKA) Data. The Offenses Known and Clearances by Arrest data files include monthly data on the number of Crime Index offenses reported and the number of offenses cleared by arrest or other means. The counts include all reports of Index Crimes (excluding arson) received from victims, officers who discovered infractions, or other sources.

9 Active Global School Uniforms buyers list and Global School Uniforms importers directory compiled from actual Global import shipments of School Uniforms.

The table MO- Uniform Data is part of the dataset L2 Uniform Voter Data, available at https://columbia.redivis.com/datasets/5dss-024bh1rkk. It contains 4048638 rows across 779 variables.

193 Global import shipment records of School Uniform with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Uniform distribution and ratio of two uniforms.

Comprehensive dataset of 1,046 Uniform stores in California, United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

This dataset includes selected variables and cases from the Federal Bureau of Investigation's Uniform Crime Reports, 1958-1969, and the County and City Data Books for 1962, 1967, and 1972. Data are reported for all United States cities with a population of 75,000 or more in 1960. Data from the Uniform Crime Reports include for each year the number of homicides, forcible rapes, robberies, aggravated assaults, burglaries, larcenies over 50 dollars, and auto thefts. Also included is the Total Crime Index, which is the simple sum of all the crimes listed above. Selected variables describing population characteristics and city finances were taken from the 1962, 1967, and 1972 County and City Data Books.

The table CO- Uniform Data is part of the dataset L2 Uniform Voter Data, available at https://columbia.redivis.com/datasets/5dss-024bh1rkk. It contains 3839981 rows across 779 variables.

Uniform Dress

## Overview

Uniform Dress is a dataset for object detection tasks - it contains Uniform Dress AJps annotations for 379 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

The UNIFORM CRIME REPORTING PROGRAM DATA: SUPPLEMENTARY HOMICIDE REPORTS, 2015 (SHR) provide detailed information on criminal homicides reported to the police. These homicides consist of murders; non-negligent killings also called non-negligent manslaughter; and justifiable homicides. UCR Program contributors compile and submit their crime data by one of two means: either directly to the FBI or through their State UCR Programs. State UCR Programs frequently impose mandatory reporting requirements which have been effective in increasing both the number of reporting agencies as well as the number and accuracy of each participating agency's reports. Each agency may be identified by its numeric state code, alpha-numeric agency ("ORI") code, jurisdiction population, and population group. In addition, each homicide incident is identified by month of occurrence and situation type, allowing flexibility in creating aggregations and subsets.

These are the fixed-width ASCII files that the FBI sends you when you request Uniform Crime Reporting (UCR) Program data. All data are .dat or .txt files. I did not make any changes to the data at all. For a small number of files (mostly data within the last few years), I changed the file name to indicate the data category (e.g. arrests, arson) or to add the .dat extension. Also included are the documents that the FBI provides that instructs users on how to make an .sps or .sas setup file to read in the data ("record descriptions".Please note that when unzipped the files may be quite large.The following data are available:Arson, 1979-2017Arrests by Age, Sex, and Race - Monthly Data, 1974-2016Law Enforcement Officers Killed and Assaulted (LEOKA), 1960-2017Offenses Known and Cleared by Arrest (Return A), 1960-2017Property Stolen and Recovered (Supplement to Return A), 1960-2017