This data layer includes key performance metrics collected by the City and partners tracking the progress towards the goals of the Internet for All Seattle Initiative. Internet for All Seattle Dashboards. The data points reflect activities in five categories: 1) Affordable Connectivity Program, 2) Internet Connectivity, 3) Devices, 4) Digital Skills & Technical Support, and 5) Outreach & Assistance. The majority of the Internet for All Seattle Action Plan items and data fall under these five areas. Source data for Internet for All maps and dashboards.

Updated quarterly. Last update: March 4, 2024.

The dataset collection is a compilation of related data tables sourced from the Statistics Centre (Tilastokeskus) in Finland. This vast array of data is structured in a clear, table format for easy readability, with each table consisting of related data organized in rows and columns. The tables in this collection provide a wealth of information spanning different years. The data included in this collection is accessed through the Statistics Centre's service interface (WFS), providing a robust and efficient way to manage and utilize this comprehensive collection of statistical data. This dataset is licensed under CC BY 4.0 (Creative Commons Attribution 4.0, https://creativecommons.org/licenses/by/4.0/deed.fi).

The Local Area Unemployment Statistics (LAUS) program is a Federal-State cooperative effort in which monthly estimates of total employment and unemployment are prepared for approximately 7,600 areas, including counties, cities and metropolitan statistical areas. These estimates are key indicators of local economic conditions. The Bureau of Labor Statistics (BLS) of the U.S. Department of Labor is responsible for the concepts, definitions, technical procedures, validation, and publication of the estimates that State workforce agencies prepare under agreement with BLS. Estimates for counties are produced through a building-block approach known as the "Handbook method." This procedure also uses data from several sources, including the CPS, the CES program, state UI systems, and the Census Bureau's American Community Survey (ACS), to create estimates that are adjusted to the statewide measures of employment and unemployment. Estimates for cities are prepared using disaggregation techniques based on inputs from the ACS, annual population estimates, and current UI data.

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The Quarterly Census of Employment and Wages (QCEW) program (also known as ES-202) collects employment and wage data from employers covered by New York State's Unemployment Insurance (UI) Law. This program is a cooperative program with the U.S. Bureau of Labor Statistics. QCEW data encompass approximately 97 percent of New York's nonfarm employment, providing a virtual census of employees and their wages as well as the most complete universe of employment and wage data, by industry, at the State, regional and county levels. "Covered" employment refers broadly to both private-sector employees as well as state, county, and municipal government employees insured under the New York State Unemployment Insurance (UI) Act. Federal employees are insured under separate laws, but are considered covered for the purposes of the program. Employee categories not covered by UI include some agricultural workers, railroad workers, private household workers, student workers, the self-employed, and unpaid family workers. QCEW data are similar to monthly Current Employment Statistics (CES) data in that they reflect jobs by place of work; therefore, if a person holds two jobs, he or she is counted twice. However, since the QCEW program, by definition, only measures employment covered by unemployment insurance laws, its totals will not be the same as CES employment totals due to the employee categories excluded by UI.

This layer is displayed on the Industry, community infrastructure and agriculture land interface area overlay map in City Plan version 7 as 'Industry interface area'. The layer is also available in Council’s City Plan interactive mapping tool. For further information on City Plan, please visit http://www.goldcoast.qld.gov.au/planning-and-building/city-plan-2015-19859.html

The Recommendation has been replaced by a new Recommendation JHS 211 Content Services for Municipal Technical and Environmental Activities. http://www.jhs-suositukset.fi/suomi/jhs211

Surface Urban Heat Island (SUHI) extent, intensity, and hotspots data of land surface temperature (LST) are provided across 50 regions throughout the Continental U.S. The annual land surface temperature (LST) were derived from Landsat U.S. Analysis Ready Data (ARD). The time series land surface Temperature (LST) and land cover change products were used to produce SUHI intensity and hotspots products. The data ranges from 1985-present, and covers data within 5 km of each city. SUHI Intensity data is intended to quantify the difference between urban surface temperatures and the surrounding non-urban environment. The calculation takes the difference between a specific urban pixel’s land surface temperature (LST) and the mean of the cities non-urban LST. SUHI hotspot data are defined as areas of statistically high land surface temperature (LST). A pixel is determined as statistically high if it exceeds one standard deviation above the mean of all pixels with similar land cover type. Hotspot data is further separated into persistent urban and new urban outputs. Persistent Urban is defined as areas that are reported as urban in 1985 and remained urban in 2020. Areas that changed from non-urban in 1985 to urban in 2020 are defined as new urban. NOTE: While a previous version is available from the author, all datasets for pilot cities can be found in version 5.0. First posted - November 01, 2019 (available from author) Revised - August 20, 2020 (version 2.0) Revised - May 20, 2020 (version 3.0) Revised - January 20, 2022 (version 4.0) Revised - November 20, 2023 (version 5.0)

Urban base map with municipal additions in scale 1:500 based on ALKIS. Web Map Service (WMS) service with up-to-date data. The data are available in the coordinate system UTM32/ETRS89. Source: FB 62 - Office of Geoinformation, Surveying and Cadastre Note: The WMS service is an interface for retrieving vector data of the area designations of the official city map. The service can only be accessed and processed by a corresponding specialist application for geoinformation. Due to the lack of a graphical interface, a preview in the browser window is therefore not possible. To illustrate, here is a screenshot from the system:

This layer is displayed on the Industry, community infrastructure and agriculture land interface area overlay map in City Plan version 7 as 'Agriculture land interface area'. The layer is also …Show full descriptionThis layer is displayed on the Industry, community infrastructure and agriculture land interface area overlay map in City Plan version 7 as 'Agriculture land interface area'. The layer is also available in Council’s City Plan interactive mapping tool. For further information on City Plan, please visit http://www.goldcoast.qld.gov.au/planning-and-building/city-plan-2015-19859.html

Feedback marked as public by the City of Oulu from the following service areas: housing and environment, social and health services, day care and education, culture, sports and outdoor activities, property management, meal and cleanliness services and general feedback.

We developed an approach to quantify Urban Heat Island (UHI) extent and intensity in 50 cities of CONUS and its surrounding area by using surface temperature from Landsat surface temperature product in a time series manner. Landsat land surface temperature from Landsat Analysis Ready Data (ARD) were used to quantify surface temperature changes from 1985 to 2020. The current study assessed UHI intensity and its variations associated with urban development in an annual basis. Two datasets, over the study period, show that the maximum surface temperature in the high intensity urban area significantly increased while no significant trend was found in surrounding non-urban areas. These released datasets were spatially in 30 meters resolution and annual averages between 1985 to 2020. NOTE: While a previous version is available from the author, all the datasets for polite cities in previous version can be found in version 4.1.1 First posted - November 01, 2019 (available from author) Re ...

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Areas of the support programme Social City — Investment in the district (short social city) in the urban area of Trier: Areas of the support programme Social City — Investment in the district (short social city) in the urban area of Trier

Border of the city of Trier: Border of the city of Trier

Data disseminated on the State Urbanism Geoportal - Specific requirements

Version of the PLU stopped on November 24, 2022, applicable from December 13, 2022.
Complete documentation: cf. PLU_GPU_PRESCRIPTIONS_PONCTUALS.PDF attached
Data available for information and without regulatory value. To access the official PLU (in PDF), see www.pluenligne.fr
To access the others PLU data available on PARIS DATA, consult this page < br/>

For more information on the PLU on Paris.fr and its dedicated card< /p>

To access other PLU data on PARIS DATA in the Géoportail format National de l'Urbanisme, or consult "https://opendata.paris.fr/explore/?sort=modified&refine.keyword=GPU" target="_blank">this page