This statistic shows the distribution of search engine users in China in 2019, sorted by age group. In June 2019, around 21 percent of search engine users in China were 19 years old and younger, whereas those aged above 60 years accounted for 4.4 percent.

This statistic illustrates the share of people who used a search engine in the United States in the past 4 weeks as of 2022. The results were sorted by age. In 2022, 96 percent of respondents aged 18 to 29 years stated they used a search engine in the past 4 weeks. The Statista Global Consumer Survey offers a global perspective on consumption and media usage, covering the offline und online world of the consumer.

This paper considers a matching market with two-sided search and transferable utility where match payoffs depend on age at marriage (time until match) and search is finite. We define and prove existence of equilibrium, and provide sufficient conditions for positive assortative matching that build on restricting the slope and curvature of the marriage payoff function to generate single-peaked preferences in age and therefore convex matching sets. Payoff functions that are incompatible with positive sorting by age include all strictly increasing functions and constant flow payoffs enjoyed for some finite period.

In the United States, Gen Z are the most likely to search for product information through social media platforms. According to a survey conducted in 2023, over a third (35 percent) of U.S. shoppers between 18 and 26 years old start the purchasing process through this shopping channel.

The internet was highly used for home searches in the United States in 2022. As a result, about half of homebuyers across all age groups visited the home viewed online.

Amazon serves as a product search engine for many online shoppers. Consumers belonging to the greatest generation and aged over 75 years were the most eager to do so, with 41 percent of them reporting this purchase behavior. Amazon was an essential touchpoint of pre-purchase customer journey for 39 percent of shoppers aged between 58 and 74 years old.

This data collection was undertaken to gather information on the extent of police officers' knowledge of search and seizure law, an issue with important consequences for law enforcement. A specially-produced videotape depicting line duty situations that uniformed police officers frequently encounter was viewed by 478 line uniformed police officers from 52 randomly-selected cities in which search and seizure laws were determined to be no more restrictive than applicable United States Supreme Court decisions. Testing of the police officers occurred in all regions as established by the Federal Bureau of Investigation, except for the Pacific region (California, Oregon, and Washington), since search and seizure laws in these states are, in some instances, more restrictive than United States Supreme Court decisions. No testing occurred in cities with populations under 10,000 because of budget limitations. Fourteen questions to which the officers responded were presented in the videotape. Each police officer also completed a questionnaire that included questions on demographics, training, and work experience, covering their age, sex, race, shift worked, years of police experience, education, training on search and seizure law, effectiveness of various types of training instructors and methods, how easily they could obtain advice about search and seizure questions they encountered, and court outcomes of search and seizure cases in which they were involved. Police department representatives completed a separate questionnaire providing department characteristics and information on search and seizure training and procedures, such as the number of sworn officers, existence of general training and the number of hours required, existence of in-service search and seizure training and the number of hours and testing required, existence of policies and procedures on search and seizure, and means of advice available to officers about search and seizure questions. These data comprise Part 1. For purposes of comparison and interpretation of the police officer test scores, question responses were also obtained from other sources. Part 2 contains responses from 36 judges from states with search and seizure laws no more restrictive than the United States Supreme Court decisions, as well as responses from a demographic and work-experience questionnaire inquiring about their age, law school attendance, general judicial experience, and judicial experience and education specific to search and seizure laws. All geographic regions except New England and the Pacific were represented by the judges. Part 3, Comparison Data, contains answers to the 14 test questions only, from 15 elected district attorneys, 6 assistant district attorneys, the district attorney in another city and 11 of his assistant district attorneys, a police attorney with expertise in search and seizure law, 24 police academy trainees with no previous police work experience who were tested before search and seizure law training, a second group of 17 police academy trainees -- some with police work experience but no search and seizure law training, 55 law enforcement officer trainees from a third academy tested immediately after search and seizure training, 7 technical college students with no previous education or training on search and seizure law, and 27 university criminal justice course students, also with no search and seizure law education or training.

Korea Labour Force: Age 35 to 39 data was reported at 3,128.000 Person th in Oct 2018. This records a decrease from the previous number of 3,151.000 Person th for Sep 2018. Korea Labour Force: Age 35 to 39 data is updated monthly, averaging 3,239.000 Person th from Jun 1999 (Median) to Oct 2018, with 233 observations. The data reached an all-time high of 3,487.000 Person th in May 2008 and a record low of 2,898.000 Person th in Apr 2015. Korea Labour Force: Age 35 to 39 data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s South Korea – Table KR.G006: 4 Weeks Job Search: Labour Force.

Survey on Homeless Persons: Homeless persons by age, negotiations to find accommodation in the last 6 months and absolute value/percentage. National.

1940 Age Census Data for Baltimore, Maryland. Refer to the 1940 codebook (codebook_1940.pdf) for more information. This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.

Korea Labour Force: Female: Age 60 and Over data was reported at 1,994.000 Person th in Sep 2018. This records an increase from the previous number of 1,980.000 Person th for Aug 2018. Korea Labour Force: Female: Age 60 and Over data is updated monthly, averaging 1,143.000 Person th from Jun 1999 (Median) to Sep 2018, with 232 observations. The data reached an all-time high of 1,994.000 Person th in Sep 2018 and a record low of 712.000 Person th in Jan 2000. Korea Labour Force: Female: Age 60 and Over data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s Korea – Table KR.G006: 4 Weeks Job Search: Labour Force.

Table of INEBase Job search by gender, age and number of disabilities. Population aged 16 and over with a disability that currently does not work and is not retired. National. Disability, Independence and Dependency Situations Survey

1970 Age Census Data for Baltimore, Maryland. Refer to the 1970 codebook (codebook_1970.pdf) for more information. This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.

• Change in working age population (20-64 years) 1999-2019 (Lorraine: 1999-2017) - Territorial entities: arrondissements (Wallonie), zones d'emploi (Lorraine), Grand Duchy (Luxembourg), Kreise (Saarland, Rheinland-Pfalz) - Statistical data sources: Destatis, INSEE, Statbel, STATEC. Calculations: OIE/IBA 2020 - Geodata sources: ACT Luxembourg 2017, IGN France 2017, GeoBasis-DE / BKG 2017, NGI-Belgium 2017. Harmonization: SIG-GR / GIS-GR 2020

1990 Age Census Data for Baltimore, Maryland. Refer to the 1990.pdf enclosures for more information. This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.

This table provides 2018 data on the estimated population aged 16 and over unemployed in the Canary Islands by job search methods used in the last four weeks, sexes and age groups.

Explore the historical Whois records related to safe-age.com (Domain). Get insights into ownership history and changes over time.

Explore the historical Whois records related to return-of-the-golden-age.net (Domain). Get insights into ownership history and changes over time.

Explore the historical Whois records related to middle-age.top (Domain). Get insights into ownership history and changes over time.

Explore the historical Whois records related to age-pin.biz (Domain). Get insights into ownership history and changes over time.