This statistic shows the share of Americans who have used a public library websites or apps in the United States as of April 2016. During the survey, 39 percent of respondents stated that they had used a library website at least one time, with 27 percent of respondents stating that they had used one in the 12 months leading to the survey.

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Buffer vs Hootsuite Statistics: Buffer and Hootsuite are working against each other for supremacy in scheduling, analytics, collaboration, and affordability. Buffer offers simple interfaces and transparent pricing for creators and small and medium enterprises. Hootsuite markets to larger enterprises for deep analytics, bulk management tools, and integrations comprising its internal operations.

This comprehensive Buffer vs Hootsuite statistics focuses on user growth, satisfaction, pricing, features, and ease of use, all backed by numbers and insights from various sources. So, by the end, you will have an informative and data-driven sense of what platform will suit your needs better.

Data.sa.gov.au is a directory for the openly licensed datasets from South Australian Government departments. This dataset contains site statistics for data.sa, including the most viewed dataset pages, visitor browser types, device types, etc.

Statistical analyses and maps representing mean, high, and low water-level conditions in the surface water and groundwater of Miami-Dade County were made by the U.S. Geological Survey, in cooperation with the Miami-Dade County Department of Regulatory and Economic Resources, to help inform decisions necessary for urban planning and development. Sixteen maps were created that show contours of (1) the mean of daily water levels at each site during October and May for the 2000-2009 water years; (2) the 25th, 50th, and 75th percentiles of the daily water levels at each site during October and May and for all months during 2000-2009; and (3) the differences between mean October and May water levels, as well as the differences in the percentiles of water levels for all months, between 1990-1999 and 2000-2009. The 80th, 90th, and 96th percentiles of the annual maximums of daily groundwater levels during 1974-2009 (a 35-year period) were computed to provide an indication of unusually hig ...

The statistic shows a distribution of blocked websites in the United Arab Emirates from 2016 to 2019, by content. In 2019, 32 percent of blocked websites contained nudity or pornography.

These datasets correspond to the daily statistics of the website data.gouv.fr cut out by year. The data comes from stats.data.gouv.fr and is compiled at the end of each year. Starting in 2020, the statistics of the site and the API are now separated. This dataset only applies to the site from 2020. Data before 2020 and from 2020 are not comparable. Documentation of the different columns is available here.

Quantity and general situation of historical sites in Taichung City

The Department of Social Services (DSS) is the Australian Government’s preeminent source of advice on social policy and works in partnership with other government and non-government organisations to …Show full descriptionThe Department of Social Services (DSS) is the Australian Government’s preeminent source of advice on social policy and works in partnership with other government and non-government organisations to manage a diverse range of programs and services designed to support and improve the lives of Australians. DSS has whole of government responsibility Families and Children Housing Support Seniors Communities and Vulnerable People Disability and Carers Women's Safety Mental Health Settlement and Multicultural Affairs Ageing and Aged Care Review of Australia’s Welfare System This statistical overview presents information about income support payments and customers administered by a number of Australian Government departments. Unless otherwise indicated, the statistics relate to the relevant pay periods closest to 30 June. These periods will generally be within a fortnight either side of that date. Key sections of the overview are: payments for older people, people with disability and those caring for people with disability, severe medical conditions, or those who are frail aged student and labour market related payments family assistance other payments and services pensioners paid overseas. Payment and allowance information, including eligibility criteria, are included within each section. When The Department of Social Services was formed in September 2013 the publishing of the Statistical Paper series ceased. The DSS Payments Demographic Data Set is updated quarterly and covers the majority of the information contained in the Statistical Paper series. Please contact the Data Requests team if you have any questions in relation to this publication or the DSS Payment Demographic Data Set. Further information to assist with the interpretation of statistics is available from the DSS and Human Services websites: Department of Human Services (DHS) Department of Social Services (DSS).

The Ecommerce Website Platform market has emerged as a crucial component in the digital economy, catering to the needs of businesses seeking to establish an online presence. With the rapid growth of online shopping, these platforms provide comprehensive solutions for retailers, enabling them to create, manage, and s

BY: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data was reported at 1.000 Ratio in 2014. This records an increase from the previous number of 0.000 Ratio for 2013. BY: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data is updated yearly, averaging 20.000 Ratio from Dec 1985 (Median) to 2014, with 26 observations. The data reached an all-time high of 30.000 Ratio in 1991 and a record low of 0.000 Ratio in 2013. BY: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.World Bank.WDI: Social: Health Statistics. Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births.;The country data compiled, adjusted and used in the estimation model by the Maternal Mortality Estimation Inter-Agency Group (MMEIG). The country data were compiled from the following sources: civil registration and vital statistics; specialized studies on maternal mortality; population based surveys and censuses; other available data sources including data from surveillance sites.;;

Metropolitan Statistical Areas are CBSAs associated with at least one urbanized area that has a population of at least 50,000. The metropolitan statistical area comprises the central county or counties or equivalent entities containing the core, plus adjacent outlying counties having a high degree of social and economic integration with the central county or counties as measured through commuting.Download: https://www2.census.gov/geo/tiger/TGRGDB24/tlgdb_2024_a_us_nationgeo.gdb.zip Layer: Core_Based_Statistical_Area where [MEMI] = "1"Metadata: https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Current_19115/series_tl_2023_cbsa.shp.iso.xml

This statistic depicts the findings of a survey on the experiences and attitudes regarding dating websites or apps according to users in the United Kingdom (UK) in June 2017, by marital status. During the survey period, it was found that 22 percent of responding married individuals reported that they signed up just for fun. Considerably more respondents among that group fell in love with someone from a dating site, with 42 percent.

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).

The median income indicates the income bracket separating the income earners into two halves of equal size.

The statistic shows the number of monthly active users at leading dating and matchmaking websites in China as of November 2016. During the surveyed time period, the leading dating and matchmaking website Jiayuan had nearly five million monthly active users.

This dataset collection comprises a set of data tables that are closely connected. These tables are sourced from the 'Tilastokeskus' (Statistics Finland) website based in Finland. All the data tables are structured in a manner that organizes related data in the form of rows and columns, making them easy to read and understand. The dataset is primarily focused on the service interface of the Statistics Finland, providing valuable insights into various statistical parameters. It's important to note that the dataset is updated periodically to reflect the most recent data available. This dataset is licensed under CC BY 4.0 (Creative Commons Attribution 4.0, https://creativecommons.org/licenses/by/4.0/deed.fi).

Age_GroupsAge - 4 CategoriesThis table provides Census 2021 estimates that classify People by Age - 4 Categories at Census 2021 Data Zone level. The table contains 15,120 counts.National Statistics ThemeCensus 2021CoverageCensus 2021 Data ZoneContact nameCensus Customer ServicesContact number028 9025 5156Contact emailcensus@nisra.gov.ukNational Statistics DataYesResponsible StatisticianDr David MarshallYear of data2021VariablesAge - 4 CategoriesDescription of dataThis table provides Census 2021 estimates that classify People by Age - 4 Categories at Census 2021 Data Zone level. The table contains 15,120 counts.AbstractThe census collected information on the usually resident population of Northern Ireland on Census Day (21 March 2021).Initial contact letters or questionnaire packs were delivered to every household and communal establishment, and residents were asked to complete online or return the questionnaire with information as correct on Census Day.Special arrangements were made to enumerate special groups such as students, members of the Travellers Community, HM Forces personnel etc.The Census Coverage Survey (an independent doorstep survey) followed between 12 May and 29 June 2021 and was used to adjust the census counts for under-enumeration.Disclosure control methodsStatistical disclosure control (SDC) refers to a range of methods that aim to protect individuals, households, businesses, and their attributes from being identified in published information.NISRA has taken steps to ensure that the confidentiality of respondents is fully protected.All published results from the census have been subject to statistical processes to ensure that individuals cannot be identified. These processes may result in very marginal differences between tables for the same statistic.For Census 2021, NISRA is applying two strategies - targeted record swapping (TRS) and cell key perturbation (CKP), to ensure individuals are protected from identification while minimising the impact on the quality of results.Disclosure control methodologyFor more information, please refer to:Statistical disclosure control methodologyMethodologyThe census questionnaire including the questions asked and the administrative procedures involved in collecting the census data underwent substantial testing. Coding of the data was subject to quality checks.The quality of the results was improved by the use of edit and imputation procedures for missing or incorrect data, and the data were adjusted for over and under-enumeration.The outputs reflect the complete usually-resident population of Northern Ireland.Methodology overviewFurther information on the methodology used in Census 2021 is available in the:Census 2021 methodology overviewQuality issuesThe census results underwent an extensive quality assurance process, which included checks against administrative data sources and information on particular groups such as students and HM Forces personnel.Edit procedures were applied to obviously incorrect responses (such as someone aged 180) and were designed to correct the mistake by making the least possible change to the data.Imputation procedures were applied to missing data on a returned questionnaire, and drew on responses to the question from people with similar characteristics.Quality assurance reportFurther information on the quality assurance processes used in Census 2021 is available in the:Census 2021 quality assurance reportStatement about data qualityFor more information on data quality, including response rate and item response rate, please refer to the:Census 2021 statement about data qualityGeographic referencingIrish National GridNational Statistics publicationCensus statistics are produced by the Northern Ireland Statistics and Research Agency free from political influence and have been assessed as National Statistics by the Office for Statistics Regulation.Office for Statistics RegulationMore information is available on the following web site:Office for Statistics RegulationProducing census statisticsCensus 2021 statistics meet the highest standards of trust, quality and value and are produced using standards set out in the statutory Code of Practice for Statistics.Code of Practice for StatisticsMore information is available in the:Code of Practice for StatisticsDate of publicationJune 2023Further informationCensus 2021 results webpage

Zip Code; Median household income; Unemployed (ages GE 16); Families below 185% FPL; Children (ages 0-17) below 185% FPL; Children (ages 3-4) enrolled in preschool or nursery school; Less than high school; High school graduate; Some college or associates degree; College graduate or higher; High school graduate or less. Percentages unless otherwise noted. Source information provided at: https://www.sccgov.org/sites/phd/hi/hd/Documents/City%20Profiles/Methodology/Neighborhood%20profile%20methodology_082914%20final%20for%20web.pdf

This dataset contains replication files for "A Practical Method to Reduce Privacy Loss when Disclosing Statistics Based on Small Samples" by Raj Chetty and John Friedman. For more information, see https://opportunityinsights.org/paper/differential-privacy/. A summary of the related publication follows. Releasing statistics based on small samples – such as estimates of social mobility by Census tract, as in the Opportunity Atlas – is very valuable for policy but can potentially create privacy risks by unintentionally disclosing information about specific individuals. To mitigate such risks, we worked with researchers at the Harvard Privacy Tools Project and Census Bureau staff to develop practical methods of reducing the risks of privacy loss when releasing such data. This paper describes the methods that we developed, which can be applied to disclose any statistic of interest that is estimated using a sample with a small number of observations. We focus on the case where the dataset can be broken into many groups (“cells”) and one is interested in releasing statistics for one or more of these cells. Building on ideas from the differential privacy literature, we add noise to the statistic of interest in proportion to the statistic’s maximum observed sensitivity, defined as the maximum change in the statistic from adding or removing a single observation across all the cells in the data. Intuitively, our approach permits the release of statistics in arbitrarily small samples by adding sufficient noise to the estimates to protect privacy. Although our method does not offer a formal privacy guarantee, it generally outperforms widely used methods of disclosure limitation such as count-based cell suppression both in terms of privacy loss and statistical bias. We illustrate how the method can be implemented by discussing how it was used to release estimates of social mobility by Census tract in the Opportunity Atlas. We also provide a step-by-step guide and illustrative Stata code to implement our approach.