Administrative areas with associated statistics according to the Environmental Noise Directive Round 4

2015 Total Outstanding Debt by Municipality A note of caution: A municipality can update information at any time after submission of a form. The Municipal Statistics site is built to reflect any data updates, the following day, in the Public Reports section of the Municipal Statistics site. http://munstats.pa.gov/public/

Municipal Fiscal Indicators is an annual compendium of information compiled by the Office of Policy and Management, Office of Finance, Municipal Finance Services Unit (MFS). Municipal Fiscal Indicators contains the most current financial data available for each of Connecticut's 169 municipalities. The data contained in Indicators provides key financial and demographic information on municipalities in Connecticut. The data includes selected demographic and economic data relating to, or having an impact upon, a municipality’s financial condition. The majority of this data was compiled from the audited financial statements that are filed annually with the State of Connecticut, Office of Policy and Management, Office of Finance. Unlike prior years' where the audited financial information was compiled by OPM, the FY 2020 and beyond information in this edition was based upon the self-reporting by municipalities of their own audited data. Note: This dataset includes annually reported data using three types of years: calendar year, fiscal year, and grand list year. The calendar year spans January 1 to December 31. In Connecticut, the state fiscal year runs from July 1 to June 30, with the numerical year indicating when the fiscal year ends (e.g., fiscal year 2022 ended on June 30, 2022). The grand list year refers to the year municipalities assess property values, which occurs annually on October 1. For example, the property values assessed on October 1, 2020, are referred to as "Grand List Year 2020." However, these values are used to levy property taxes for the next fiscal year, spanning July 1, 2021, to June 30, 2022. In this context, grand list year 2020 corresponds to fiscal year ending 2022. Similarly, mill rates for each year are based on the grand list from two years prior. The most recent edition is for the Fiscal Years Ended 2018-2022 published in September 2024. For additional data on net current expenditures per pupil, see the State Department of Education website here: https://portal.ct.gov/sde/fiscal-services/net-current-expenditures-per-pupil-used-for-excess-cost-grant-basic-contributions/documents For additional population data from the Department of Public Health, visit their website here: https://portal.ct.gov/dph/health-information-systems--reporting/population/annual-town-and-county-population-for-connecticut The most recent data on the Municipal Fiscal Indicators is included in the following datasets: Municipal-Fiscal-Indicators: Financial Statement Information, 2020-2022 https://data.ct.gov/d/d6pe-dw46 Municipal-Fiscal-Indicators: Uniform Chart of Accounts, 2020-2022 https://data.ct.gov/d/e2qt-k238 Municipal Fiscal Indicators: Pension Funding Information for Defined Benefit Pension Plans, 2020-2022 https://data.ct.gov/d/73q3-sgr8 Municipal Fiscal Indicators: Type and Number of Pension Plans, 2020-2022 https://data.ct.gov/d/i84g-vvfb Municipal Fiscal Indicators: Other Post-Employment Benefits (OPEB), 2020-2022 https://data.ct.gov/d/ei7n-pnn9 Municipal Fiscal Indicators: Economic and Grand List Data, 2019-2024 https://data.ct.gov/d/xgef-f6jp Municipal Fiscal Indicators: Benchmark Labor Data, 2020-2024 https://data.ct.gov/d/5ijb-j6bn Municipal Fiscal Indicators: Bond Ratings, 2019-2022 https://data.ct.gov/d/a65i-iag5 Municipal Fiscal Indicators: Individual Town Data, 2014-2022 https://data.ct.gov/d/ej6f-y2wf Municipal Fiscal Indicators: Totals and Averages, 2014-2022 https://data.ct.gov/d/ryvc-y5rf

Municipal boundaries for Pennsylvania, New Jersey, Maryland, Delaware, and the District of Columbia with ortho-rectified municipal boundaries for the DVRPC Region. Municipal Boundaries have been edited by DVRPC to create a more accurate, seemless regional dataset for the DVRPC region and its surrounding area. This dataset was compiled from multiple sources. Original data sources (in order of drawing rank): DVRPC - for Mercer, Burlington, Camden, Gloucester counties in NJ (an adaptation of NJOIT's Mun Bounds) and Bucks, Montgomery, Philadelphia, Chester, and Delaware counties in PA. In most cases, boundaries have been adjusted to align with parcel data. NJOIT - remaining NJ counties (2008) PennDOT - remaining PA counties (2009) DE State Office of Mgmt & Budget - Delaware municipalities (2002) MD State Hwy Administration - Maryland municipalities (2003) Washington DC - ESRI NOTE: NJ's coast has been clipped or unioned to ESRI's data CD detailed state boundary

Due to a consolidation, Princeton Twp and Princeton Boro in Mercer County, NJ in 2013, the new municipality (named "Princeton"), uses Princeton Boro's unique ID 3402160900. Princeton Township's unique ID (3402160915)no longer exists.

Due to the name change from Washington Twp to Robbinsville Twp in Mercer County NJ in 2008, the unique ID (GEOID) for this municipality has changed from 3402177210 to 3402163850 . However, if you download 2000 census data from the Bureau's website, the unique ID (GEOID) for Robbinsville Township will still be 3402177210 in the census data…you will have to manually change its GEOID to 3402163850 in order to get the 2000 data to join to the MCD file correctly.

Due to name change from Birmingham Twp to Chadds Ford Twp in Delaware County, PA in 1997, the unique ID (GEOID) for this municipality has changed from 4204506552 to 4204512442.

Municipal Fiscal Indicators is an annual compendium of information compiled by the Office of Policy and Management, Office of Finance, Municipal Finance Services Unit (MFS). Municipal Fiscal Indicators contains the most current financial data available for each of Connecticut's 169 municipalities. The data contained in Indicators provides key financial and demographic information on municipalities in Connecticut. The data includes selected demographic and economic data relating to, or having an impact upon, a municipality’s financial condition.

The majority of this data was compiled from the audited financial statements that are filed annually with the State of Connecticut, Office of Policy and Management, Office of Finance. Unlike prior years' where the audited financial information was compiled by OPM, the FY 2021 information in this edition was based upon the self-reporting by municipalities of their own audited data.

The most recent edition is for the Fiscal Years Ended 2018-2022 published in September 2024.

Note: For 2020, this dataset does not include data for the following municipalities, which did not complete the UCOA reporting process in Ansonia, Bloomfield, Bozrah, Danbury, Derby, East Haven, East Lyme, Easton, Hamden, Hebron, Meriden, New Canaan, Norfolk, North Branford, North Canaan, North Haven, Prospect, Seymour, Southington, Stonington, West Haven, Westbrook, Wethersfield, Willington, and Wilton.

For 2021, this dataset does not include data for: Andover, Bolton, Bozrah, Bridgewater, Colebrook, Danbury, East Haven, East Lyme, Easton, Enfield, Mansfield, New Britain, New Haven, Norfolk, North Branford, North Canaan, North Haven, Seymour, Southington, Warren, West Hartford, West Haven, Willington, Wilton, and Woodbury.

For 2022, this dataset does not include data for: Andover, Colchester, Danbury, East Lyme, Marlborough, Norfolk, North Canaan, Prospect, Westbrook, and Wethersfield.

The most recent data on the Municipal Fiscal Indicators is included in the following datasets:

Municipal-Fiscal-Indicators: Financial Statement Information, 2020-2022 https://data.ct.gov/d/d6pe-dw46

Municipal-Fiscal-Indicators: Uniform Chart of Accounts, 2020-2022 https://data.ct.gov/d/e2qt-k238

Municipal Fiscal Indicators: Pension Funding Information for Defined Benefit Pension Plans, 2020-2022 https://data.ct.gov/d/73q3-sgr8

Municipal Fiscal Indicators: Type and Number of Pension Plans, 2020-2022 https://data.ct.gov/d/i84g-vvfb

Municipal Fiscal Indicators: Other Post-Employment Benefits (OPEB), 2020-2022 https://data.ct.gov/d/ei7n-pnn9

Municipal Fiscal Indicators: Economic and Grand List Data, 2019-2024 https://data.ct.gov/d/xgef-f6jp

Municipal Fiscal Indicators: Benchmark Labor Data, 2020-2024 https://data.ct.gov/d/5ijb-j6bn

Municipal Fiscal Indicators: Bond Ratings, 2019-2022 https://data.ct.gov/d/a65i-iag5

Municipal Fiscal Indicators: Individual Town Data, 2014-2022 https://data.ct.gov/d/ej6f-y2wf

Municipal Fiscal Indicators: Totals and Averages, 2014-2022 https://data.ct.gov/d/ryvc-y5rf

Ethical Data ManagementExecutive SummaryIn the age of data and information, it is imperative that the City of Virginia Beach strategically utilize its data assets. Through expanding data access, improving quality, maintaining pace with advanced technologies, and strengthening capabilities, IT will ensure that the city remains at the forefront of digital transformation and innovation. The Data and Information Management team works under the purpose:“To promote a data-driven culture at all levels of the decision making process by supporting and enabling business capabilities with relevant and accurate information that can be accessed securely anytime, anywhere, and from any platform.”To fulfill this mission, IT will implement and utilize new and advanced technologies, enhanced data management and infrastructure, and will expand internal capabilities and regional collaboration.Introduction and JustificationThe Information technology (IT) department’s resources are integral features of the social, political and economic welfare of the City of Virginia Beach residents. In regard to local administration, the IT department makes it possible for the Data and Information Management Team to provide the general public with high-quality services, generate and disseminate knowledge, and facilitate growth through improved productivity.For the Data and Information Management Team, it is important to maximize the quality and security of the City’s data; to develop and apply the coherent management of information resources and management policies that aim to keep the general public constantly informed, protect their rights as subjects, improve the productivity, efficiency, effectiveness and public return of its projects and to promote responsible innovation. Furthermore, as technology evolves, it is important for public institutions to manage their information systems in such a way as to identify and minimize the security and privacy risks associated with the new capacities of those systems.The responsible and ethical use of data strategy is part of the City’s Master Technology Plan 2.0 (MTP), which establishes the roadmap designed by improve data and information accessibility, quality, and capabilities throughout the entire City. The strategy is being put into practice in the shape of a plan that involves various programs. Although these programs was specifically conceived as a conceptual framework for achieving a cultural change in terms of the public perception of data, it basically covers all the aspects of the MTP that concern data, and in particular the open-data and data-commons strategies, data-driven projects, with the aim of providing better urban services and interoperability based on metadata schemes and open-data formats, permanent access and data use and reuse, with the minimum possible legal, economic and technological barriers within current legislation.Fundamental valuesThe City of Virginia Beach’s data is a strategic asset and a valuable resource that enables our local government carry out its mission and its programs effectively. Appropriate access to municipal data significantly improves the value of the information and the return on the investment involved in generating it. In accordance with the Master Technology Plan 2.0 and its emphasis on public innovation, the digital economy and empowering city residents, this data-management strategy is based on the following considerations.Within this context, this new management and use of data has to respect and comply with the essential values applicable to data. For the Data and Information Team, these values are:Shared municipal knowledge. Municipal data, in its broadest sense, has a significant social dimension and provides the general public with past, present and future knowledge concerning the government, the city, society, the economy and the environment.The strategic value of data. The team must manage data as a strategic value, with an innovative vision, in order to turn it into an intellectual asset for the organization.Geared towards results. Municipal data is also a means of ensuring the administration’s accountability and transparency, for managing services and investments and for maintaining and improving the performance of the economy, wealth and the general public’s well-being.Data as a common asset. City residents and the common good have to be the central focus of the City of Virginia Beach’s plans and technological platforms. Data is a source of wealth that empowers people who have access to it. Making it possible for city residents to control the data, minimizing the digital gap and preventing discriminatory or unethical practices is the essence of municipal technological sovereignty.Transparency and interoperability. Public institutions must be open, transparent and responsible towards the general public. Promoting openness and interoperability, subject to technical and legal requirements, increases the efficiency of operations, reduces costs, improves services, supports needs and increases public access to valuable municipal information. In this way, it also promotes public participation in government.Reuse and open-source licenses. Making municipal information accessible, usable by everyone by default, without having to ask for prior permission, and analyzable by anyone who wishes to do so can foster entrepreneurship, social and digital innovation, jobs and excellence in scientific research, as well as improving the lives of Virginia Beach residents and making a significant contribution to the city’s stability and prosperity.Quality and security. The city government must take firm steps to ensure and maximize the quality, objectivity, usefulness, integrity and security of municipal information before disclosing it, and maintain processes to effectuate requests for amendments to the publicly-available information.Responsible organization. Adding value to the data and turning it into an asset, with the aim of promoting accountability and citizens’ rights, requires new actions, new integrated procedures, so that the new platforms can grow in an organic, transparent and cross-departmental way. A comprehensive governance strategy makes it possible to promote this revision and avoid redundancies, increased costs, inefficiency and bad practices.Care throughout the data’s life cycle. Paying attention to the management of municipal registers, from when they are created to when they are destroyed or preserved, is an essential part of data management and of promoting public responsibility. Being careful with the data throughout its life cycle combined with activities that ensure continued access to digital materials for as long as necessary, help with the analytic exploitation of the data, but also with the responsible protection of historic municipal government registers and safeguarding the economic and legal rights of the municipal government and the city’s residents.Privacy “by design”. Protecting privacy is of maximum importance. The Data and Information Management Team has to consider and protect individual and collective privacy during the data life cycle, systematically and verifiably, as specified in the general regulation for data protection.Security. Municipal information is a strategic asset subject to risks, and it has to be managed in such a way as to minimize those risks. This includes privacy, data protection, algorithmic discrimination and cybersecurity risks that must be specifically established, promoting ethical and responsible data architecture, techniques for improving privacy and evaluating the social effects. Although security and privacy are two separate, independent fields, they are closely related, and it is essential for the units to take a coordinated approach in order to identify and manage cybersecurity and risks to privacy with applicable requirements and standards.Open Source. It is obligatory for the Data and Information Management Team to maintain its Open Data- Open Source platform. The platform allows citizens to access open data from multiple cities in a central location, regional universities and colleges to foster continuous education, and aids in the development of data analytics skills for citizens. Continuing to uphold the Open Source platform with allow the City to continually offer citizens the ability to provide valuable input on the structure and availability of its data. Strategic areasIn order to deploy the strategy for the responsible and ethical use of data, the following areas of action have been established, which we will detail below, together with the actions and emblematic projects associated with them.In general, the strategy pivots on the following general principals, which form the basis for the strategic areas described in this section.Data sovereigntyOpen data and transparencyThe exchange and reuse of dataPolitical decision-making informed by dataThe life cycle of data and continual or permanent accessData GovernanceData quality and accessibility are crucial for meaningful data analysis, and must be ensured through the implementation of data governance. IT will establish a Data Governance Board, a collaborative organizational capability made up of the city’s data and analytics champions, who will work together to develop policies and practices to treat and use data as a strategic asset.Data governance is the overall management of the availability, usability, integrity and security of data used in the city. Increased data quality will positively impact overall trust in data, resulting in increased use and adoption. The ownership, accessibility, security, and quality, of the data is defined and maintained by the Data Governance Board.To improve operational efficiency, an enterprise-wide data catalog will be created to inventory data and track metadata from various data sources to allow for rapid data asset discovery. Through the data catalog, the city will

For the purpose of municipal statistics, the department of "Surveying, Cadastral Office and Geodata" of the city of Wuppertal carries out an annual intersection of the building blocks with the areas of actual use from the real estate cadastre. The building blocks are listed in the small-scale structure of the city of Wuppertal, a node and edge model of the city that serves as the spatial reference basis for Wuppertal municipal statistics. They are the smallest area unit in municipal statistics. The areas of actual use come from the official real estate cadastre information system ALKIS, which has been used in Wuppertal since mid-2011 to manage the real estate cadastre. In October 2012, an overlay was carried out for the first time, which has been repeated at the beginning of each year since then. Since the network of building blocks changes only slightly from year to year, the time series developed in this way enables detailed analyzes of land use in the Wuppertal city area. With the introduction of the ALKIS, the modeling of the actual use has changed significantly compared to the previous procedure "Automated Real Estate Map (ALK)", so that no time series can be set up that go further into the past. The results of the intersections are available for each vintage as separate CSV files (semicolon as a separator), which are available under an open data license (CC BY 4.0). The georeferencing of the area information is done indirectly via the building block number with which each line of such a CSV file begins. In the general case there are several rows of data for a building block, one for each actual use found in the ALKIS database for that building block area.

Under the Municipal Government Act, the Minister has the authority to prescribe the type of information to be provided by a municipality to the Minister [s.451 (1(b)]. In Nova Scotia, the municipality is required to submit financial information to the Department of Municipal Affairs (DMA) through the standard Financial Information Return (FIR). The Province then compiles an Annual Municipal Statistics Report based on the data municipalities provide.

The knowledge and quantification of the population subject of education, level of Basque, activity and mobility of people residing in the Basque Country as well as information on housing, requires various statistical sources. On the one hand, population counts have been carried out decennially through the Population and Housing Censuses, as well as by the Population and Housing Statistics in the intercensal period; on the other hand, through the various municipal statistics (municipal statistics of inhabitants, municipal statistics of housing, municipal statistics of education and municipal statistics of active population). In addition, using as main sources the administrative records of the Municipal Register of Inhabitants, the municipal demographic information and the different characteristics are renewed.

The source of the data in this table are municipalities and CBS offers them as a service as open data.

Statistics Netherlands (CBS) receives data from municipalities as part of the Information for Third Parties (Iv3) reports. The data in the table have not been edited by Statistics Netherlands. This type of data is also referred to as 'unprocessed data'. CBS bears no responsibility for the quality of the data. The data in Statistics Netherlands' own publications do not have to be traced back one-on-one to the data in this table.

The table contains raw Iv3 data from all reporting types of one reporting year. The types of reports are the budget, the four quarters and the annual accounts. If a municipality has not provided Iv3 data for a report type, then this municipality is included in the table, but each cell has the value '.', in the sense of missing. This is particularly the case for the quarterly accounts of municipalities with fewer than 20 thousand inhabitants (size classes 6.7 and 8), as they are not obliged to supply them to Statistics Netherlands.

The codes used in the table for the categories on the one hand and the task fields and balance sheet items on the other hand, as well as their meaning, are derived from the 'Decree on the budget and accountability of provinces and municipalities' (BBV) of the Ministry of the Interior and Kingdom Relations. The BBV contains, among other things, the regulations for the deliveries of Iv3 data to CBS.

For each type of report, all reports received so far are published at the same time at two points in time. The reason for placing the data a second time is that CBS gives municipalities the opportunity to provide an improved Iv3 dataset. The data that is placed the first time has the value '1st placement' in the topic 'Place'. The data that is placed the second time has the value '2nd placement'.

Data available from: 2025.

Status of figures The figures in this table are final upon publication (i.e., subject to exceptions, once published data are no longer updated).

Changes as of 2 December 2024: None, this is a new table. Figures for the first allocation of the 2025 budget are included.

When will there be new figures? The time of publication of new figures for a type of report depends on the deadline for submission to Statistics Netherlands that applies to the type of report in question. For budgets for year j, the deadline for submission is 14 November in the year preceding the budget year (j-1). For quarterly data for the first, second and third quarters of year j, this is one month after the end of the quarter. For submission of the fourth quarter of year j, a deadline of 14 February in the year following the reporting year (j+1) applies. Finally, for the annual accounts for year j, this date is 14 July in the year following the reporting year (j+1). All reports received for a report type are published at the same time. This publication happens twice. The first time is 10 days after the submission deadline. If this day falls on the weekend or on a public holiday, the dates will be published on the next working day. With this placement, the most recent report received by each reporter will be published and received no later than 5 days after the deadline for submission. The second time is 70 days after the submission deadline. If this day falls on the weekend or on a public holiday, the dates will be published on the next working day. With this placement, the most recent report received by each reporter will be published and received no later than two months after the deadline for submission. The second allocation of the budget will (possibly) take place in phases: the figures of municipal reclassifications that were missing due to postponement in the regular second placement will be published by the end of May at the latest. The distinction between the first and the second placement can be seen in the subject.

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

This table contains figures on the budgeted expenditures and income per task (policy area) according to region and size class in millions of euros and in euros per inhabitant. The presented figures are based on data that adhere to the definitions and classifications that municipalities themselves use in their administration. These data are supplied to Statistics Netherlands through the questionnaire called Information for Third Parties (Iv3). The directives for this questionnaire have been laid down in the Directive for Budgeting and Accounting for provinces and municipalities (BBV).

Data available from: 2017

Status of the figures: The figures in this table are provisional at the time of first publication. Upon the third publication one year later, the figures will become definitive.

Changes as of 18 March 2025: The provisional figures for 2025 have been added. The figures for 2024 have become definitive.

In the budget years 2023 and 2025, changes to the Iv3 questionnaire were introduced. This has led to a break in the time series for the municipal tasks Public health, General provisions including district teams, Income arrangements, Participation, Individual social support, Individual services 18+, Individual services 18-, Escalated care 18+ and Escalated care 18-. For these municipal tasks, comparing 2023 figures with figures relating to earlier years is therefore difficult. The following changes were made as from 2023: - Expenditures and revenues related to Centres for Youth and Family must be registered under General provisions including district teams instead of Public health; - Expenditures and revenues related to tackling domestic violence must be registered under General provisions including district teams instead of Escalated care 18+; - Expenditures and revenues related to debt counselling must be registered under Income arrangements instead of Individual services 18+; - Expenditures and revenues related to housing and transport services must be registered under Individual social support instead of Individual services 18+; - Expenditures and revenues related to day care under the Social Support Act (WMO) must be registered under Individual services 18+ instead of Participation; - Expenditures and revenues related to the walk-in function mental health care facilities must be registered under Individual services 18+ instead of Escalated care 18+. The following changes were made as from 2025: - Expenses and revenues related to coordination and policy concerning WMO and youth care are included under Individual Services 18+ and Individual Services 18- starting in 2025, whereas in previous years they were spread across various areas within the social domain. - Expenses and revenues related to individual budgets for WMO and youth care are included under Individual Services 18+ and Individual Services 18- starting in 2025, whereas previously they were partially booked under Individual Social Support.

When will new figures be published? The new figures will be made available in the month of March of the financial year. The figures are subject to revision based on the availability of new or updated sources. In general these adjustments are limited in size and scope. The adjustments will be implemented when new annual figures are added to the series. Because of changes in the source material, Information for Third Parties (Iv3), the data are no longer completely comparable with data from earlier years as of the publication of the figures of the 2017 budgets. More information on these changes can be found in paragraph 3 under 'relevant tables'.

Financial overview and grant giving statistics of Richard J Schuettler Center for Municipal Developement

The data set contains the Wuppertal city area as polygon, as it is managed in the small-scale structure of the city of Wuppertal. The small-scale structure is a knot and edge model of the city, which serves as the spatial reference base of the Wuppertal municipal statistics. Within this system, the urban area is aggregated from the municipalities. This is not a sparse presentation, but data from the ALKIS Official Property Register Information System must be used for this purpose. The delimitation of the Wuppertal city area is constant in the long term. Changes are only possible in connection with legally regulated territorial reforms and are therefore not foreseeable. The dataset is available under an open data license (CC BY 4.0).

The dataset covers the boundaries of the 48 statistical districts in Wuppertal. They are managed in the small-scale division of the city of Wuppertal, a node and edge model of the city that serves as a spatial reference basis for Wuppertal municipal statistics. The statistical districts are a hierarchically strict upper group of building blocks in the system of small-scale division: Each building block belongs to exactly one statistical district. The five-digit numbers of the building blocks begin with the two-digit number of the corresponding statistical district. A continuation of the statistical districts is always prompted by changes of such block boundaries, which were previously also borders of statistical districts. The dataset is available under an Open Data license (CC BY 4.0).

Municipal Government: Revenue: Taxes: Taxes on Income, Profits & Capital Gains data was reported at 11,702,079.758 BRL th in 2013. This records an increase from the previous number of 10,199,837.826 BRL th for 2012. Municipal Government: Revenue: Taxes: Taxes on Income, Profits & Capital Gains data is updated yearly, averaging 6,626,483.501 BRL th from Dec 2006 (Median) to 2013, with 8 observations. The data reached an all-time high of 11,702,079.758 BRL th in 2013 and a record low of 4,089,665.336 BRL th in 2006. Municipal Government: Revenue: Taxes: Taxes on Income, Profits & Capital Gains data remains active status in CEIC and is reported by National Treasury Secretariat. The data is categorized under Brazil Premium Database’s Government and Public Finance – Table BR.FA049: Municipal Government Operation: Revenue and Expenditure (Old Methodology). National Treasury Secretariat (Secretaria do Tesouro Nacional - STN) of Ministry of Finance published government operating statement by implementing a new breakdown of the components of revenue and expenditure in order to ensure similarity with the pattern of the IMF Government Finance Statistics Manual 2001(GFSM 2001) and the Statement of Public Finance Statistics (Demonstrativo de Estatísticas de Finanças Públicas - DEFP), Part VIII Applied Accounting Manual for Public Sector (Manual de Contabilidade Aplicada ao Setor Público - MCASP).

The data set covers the segments of the small-scale Wuppertal division. They are led in the small-scale structure of the city of Wuppertal, a knot and edge model of the city that serves as a spatial reference base for the Wuppertal municipal statistics. Within this process, the segments may be formed as multiple broken lines between the dot-shaped nodes. The segments run on the middle axes of line-shaped structures such as roads, railway lines, footpaths, stairs, economic paths and watercourses. They are subject to occasional but irregular changes, in particular by means of transport infrastructure and settlement construction measures. The dataset is available under an open data license (CC BY 4.0).

The datasets in this directory are coordinated based on data sources from the municipalities.

There are four types of data sets that belong together.

• Location: Describes a location (usually a building) that has energy data.
• MeasurementPoint: Describes a measurement point with a unique id, what it is and the unit measurements are performed in.
• LocationMeasurementPoint: Connects a measurement point with a location and assigns a local namee for the measurement point. Some measurement points are used by multiple locations, e.g. for temperature measurements from official measurement stations from met.no.
• Measurements: Timestamped measurements from measurement points.

Follow this link for a description of each dataset with their attributes:

https://github.com/opendatalab-no/open-municipal-data/blob/main/coordinated-data/README_en.md

The knowledge and quantification of the population subject of education, level of Basque, activity and mobility of people residing in the Basque Country as well as information on housing, requires various statistical sources. On the one hand, population counts have been carried out decennially through the Population and Housing Censuses, as well as by the Population and Housing Statistics in the intercensal period; on the other hand, through the various municipal statistics (municipal statistics of inhabitants, municipal statistics of housing, municipal statistics of education and municipal statistics of active population). In addition, using as main sources the administrative records of the Municipal Register of Inhabitants, the municipal demographic information and the different characteristics are renewed.

A listing of each of Connecticut's 169 municipalities indicating both the form of local government (such as Mayor-Council) and the Term in years for the Chief Elected Official

Updated annually as part of OPM's Municipal Fiscal Indicators report