From 2003, statistical tables of the number of cases by region, age group, and gender (disease name: new type A influenza, date type: onset date, case type: confirmed case, source of infection: local, imported)

Statistics on Domestic Households - Table 130-06607 : Domestic households by type of household and monthly household income

This statistic shows the types of pancake / table syrup used most often in the United States from 2011 to 2020. The data has been calculated by Statista based on the U.S. Census data and Simmons National Consumer Survey (NHCS). According to this statistic, ***** million Americans used regular pancake / table syrup in 2020.

Supply, use and input-output tables (SUIOTs) are matrices that provide a detailed picture of how goods and services are supplied and used in an economy. By balancing data from various sources in a consistent framework, they allow compiling a single coherent estimate of gross domestic product (GDP) based on production, expenditure, and income.

SUIOTs comprise four main types of tables:

• Supply table: This table depicts how products (in rows) enter the economy, either through domestic production by industries or imports (in columns). The supply table also includes data on trade and transport margins as well as taxes less subsidies (in columns) to convert total supply from basic prices to purchasers' prices.
• Use table: This table depicts how products (in rows) are used by the economy, either for intermediate consumption by industries, or for final uses (both in columns). Final uses are disaggregated into 1) final consumption expenditure by households, general government, and non-profit institutions serving households, 2) gross capital formation and 3) exports. The use table contains additional rows to show, for each industry, how gross value added is generated, distinguishing compensation of employees, other taxes less subsidies on production, consumption of fixed capital, and net operating surplus and mixed income. The use table can refer to all transactions, domestic transactions or imported products.
• Input-output table: This table captures the supply and use of products in a single matrix, depicting either products or industries in both rows and columns. Similar to use tables, input-output tables can refer to all transactions, domestic transactions or imported products.
• Margin tables: These tables present separately 1) trade and transport margins and 2) taxes less subsidies, by products (in rows) and industries (in columns).

The supply-use system is built upon two fundamental equations:

• total supply = production + imports = intermediate consumption + final consumption + gross capital formation + exports = total use (this equation is satisfied for any given product category)
• value added = production – intermediate consumption = compensation of employees + gross operating surplus and mixed income + other taxes less subsidies on production (this equation is satisfied for any given economic activity).

SUIOTs distinguish 64 product and industry categories. Products are classified according to the statistical classification of products by activity (CPA 2.1). Industries are classified according to the statistical classification of economic activities (NACE Revision 2).

The data are presented in million euro and million national currency.

Eurostat collects and publishes SUIOTs for the 27 European Union (EU) countries, the countries of the European Free Trade Association (EFTA), and the EU enlargement countries. The tables are compiled in line with the European System of Accounts - ESA 2010 and the related transmission programme. Countries should deliver their SUIOTs 36 months after the end of the reference year according to the ESA 2010 transmission programme. This means that, for example, data for the year 2022 must be transmitted by 31 December 2025.

SUIOTs comprise annual and 5-yearly data transmissions. The annual mandatory data transmission includes the supply table at basic prices, including transformation into purchasers' prices (T1500) and the use table in purchasers' prices (T1600), both in current and previous year’s prices. The 5-yearly mandatory data transmissions concerns years ending with ‘0’ or ‘5’ and includes the following tables:

• use table at basic prices (T1610)
• use table for domestic output at basic prices (T1611)
• use table for imports at basic prices (T1612)
• table of trade and transport margins (T1620)
• table of taxes less subsidies on products (T1630)
• symmetric input-output table at basic prices (T1700/50)
• symmetric input-output table for domestic output at basic prices (T1800/50)
• symmetric input-output table for imports at basic prices (T1900/50).

The 5-yearly tables are to be transmitted in current prices. Countries are free to compile their input-output tables in product-by-product or industry-by-industry format. Eurostat encourages voluntary data transmissions. Several countries provide, e.g., 5-yearly tables on an annual basis or in both current and previous year’s prices.

Eurostat publishes annual and 5-yearly tables in current prices from reference year 2010 onward and the annual tables in previous year’s prices from reference year 2015 onward.

Next to publishing SUIOTs for individual countries, Eurostat compiles annually consolidated tables at current prices for the European Union (EU, that is, the 27 member countries as a whole) and the euro area (EA). The consolidated SUIOTs are based on the EU inter-country supply, use and input-output tables (EU inter-country SUIOTs; so-called FIGARO tables). Intra-EU and intra-EA trade are considered as domestic transactions. Imports and exports correspond to the respective trade in goods and services with countries outside of the European Union and the euro area, respectively.

The regional breakdown of imports and exports in the SUIOTs for the EU and the EA is based on the country composition of both regions in the most recent reference year, and this composition is applied to the entire time series. This approach ensures consistency over time. However, it deviates from the approach used for the SUIOTs of individual countries, where an evolving country composition reflects the member countries of the EU and the EA in each respective year.

Table from the American Community Survey (ACS) 5-year series on household types and population related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B11003 Family Type by Presence and Age of Own Children under 18 Years, B11005 Households by Presence of People Under 18 Years by Household Type, B11007 Households by Presence of People 65 Years and Over by Household Type, B11001 Household Type (Including Living Alone), B11002 Household Type by Relatives and Nonrelatives for Population in Households, B25003 Tenure, B25008 Total Population in Occupied Housing Units by Tenure, B09019 Household Type (Including Living Alone) by Relationship. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.Table created for and used in the Neighborhood Profiles application.Vintages: 2023ACS Table(s): B11003, B11005, B11007, B11001, B11002, B25003, B25008, B09019Data downloaded from: Census Bureau's Explore Census Data The United States Census Bureau's American Community Survey (ACS):<a href='https://www.census.gov/programs-surveys/acs/about.html' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit;' target='_blank' rel=

NNDSS - Table II. Hepatitis (viral, acute, by type) C - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory. Note: This table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. Footnotes: C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable. —: No reported cases. N: Not reportable. NA: Not Available. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. † For acute Hepatitis C, only confirmed cases were verified.

Percentage of enterprises with certain types of web presence by the North American Industry Classification System (NAICS) and size of enterprise. Web presence refers to Internet-based locations where information about a business can be found by external parties.

The Crime Statistics Agency (CSA) is responsible for processing, analysing and publishing Victorian crime statistics, independent of Victoria Police. \r
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The CSA aims to provide an efficient and transparent information service to assist and inform policy makers, researchers and the Victorian public. \r
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The legal basis for the Crime Statistics Agency is the Crime Statistics Act 2014, which provides for the publication and release of crime statistics, research into crime trends, and the employment of a Chief Statistician for that purpose. \r
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Under the provisions of the Act, the Chief Statistician is empowered to receive law enforcement data from the Chief Commissioner of Police and is responsible for publishing and releasing statistical information relating to crime in Victoria.\r
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The Crime Statistics Agency publishes location type data for all offences where a location type was recorded by Victoria Police. There are three main location types; Residential, Community and Other. These types are further broken down into Subdivisions which show an intermediate level of information, and further into Groups which show a finer level of detail\r
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Data Classification - https://www.crimestatistics.vic.gov.au/about-the-data/classifications \r
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Glossary and Data Dictionary - https://www.crimestatistics.vic.gov.au/about-the-data/glossary-and-data-dictionary\r

Land value tax, tax on land, types of land, area, number of levels, statistics

Statistics on Domestic Households - Table 130-06613 : Median monthly household income (excluding Chinese New Year bonus/double pay) by type of housing

Supplementary Data for "Revisiting the discrimination and distribution of S-type granites from zircon trace element compositions" by Nick Roberts et al.

Participation rate (percentage) in education, population aged 15 to 29, by age and type of institution attended, Canada. This table is included in Section E: Transitions and outcomes: Transitions to postsecondary education of the Pan Canadian Education Indicators Program (PCEIP). PCEIP draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, and labour market outcomes. The program presents indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.

A computerized data set of demographic, economic and social data for 227 countries of the world. Information presented includes population, health, nutrition, mortality, fertility, family planning and contraceptive use, literacy, housing, and economic activity data. Tabular data are broken down by such variables as age, sex, and urban/rural residence. Data are organized as a series of statistical tables identified by country and table number. Each record consists of the data values associated with a single row of a given table. There are 105 tables with data for 208 countries. The second file is a note file, containing text of notes associated with various tables. These notes provide information such as definitions of categories (i.e. urban/rural) and how various values were calculated. The IDB was created in the U.S. Census Bureau''s International Programs Center (IPC) to help IPC staff meet the needs of organizations that sponsor IPC research. The IDB provides quick access to specialized information, with emphasis on demographic measures, for individual countries or groups of countries. The IDB combines data from country sources (typically censuses and surveys) with IPC estimates and projections to provide information dating back as far as 1950 and as far ahead as 2050. Because the IDB is maintained as a research tool for IPC sponsor requirements, the amount of information available may vary by country. As funding and research activity permit, the IPC updates and expands the data base content. Types of data include: * Population by age and sex * Vital rates, infant mortality, and life tables * Fertility and child survivorship * Migration * Marital status * Family planning Data characteristics: * Temporal: Selected years, 1950present, projected demographic data to 2050. * Spatial: 227 countries and areas. * Resolution: National population, selected data by urban/rural * residence, selected data by age and sex. Sources of data include: * U.S. Census Bureau * International projects (e.g., the Demographic and Health Survey) * United Nations agencies Links: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/08490

All land and building registration cases within the jurisdiction of this office are included in the statistics, including the applicants.