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The Tempe Fire Medical Rescue Department (TFMR) is an “all hazards” department that responds to all types of calls for service. The City of Tempe collects data from an annual Community Survey and the monthly TFMR Customer Service Survey to gauge resident perceptions about the quality and satisfaction of city services, programs and direction. The survey results help to determine priorities for the community as part of the City's ongoing strategic management process.This page provides data for the Fire Services Satisfaction performance measure. Summarized Responses to the Fire Services Customer Survey question "Overall, how would you rate the Fire/EMS service you received?" Answers are provided on a scale of 1 to 5, with 5 being “Exceeded my expectation” and 1 being “Did not meet my expectation”.The performance measure dashboard is available at 1.04 Fire Services SatisfactionAdditional InformationSource: Fire Customer SurveyContact (author): Elaine PattisonContact E-Mail (author): Contact (maintainer): Elaine PattisonContact E-Mail (maintainer): Data Source Type: ExcelPreparation Method: Data downloaded from website (Survey Monkey).Publish Frequency: Monthly Publish Method: ManualData Dictionary
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The global hydrographic survey services market is projected to witness significant growth in the coming years, with a CAGR of XX% during the forecast period of 2025-2033. The market size is valued at XXX million in 2025 and is projected to reach XXX million by 2033, driven by factors such as increased demand for maritime navigation, marine construction, and offshore wind farm development. Key market trends include the adoption of advanced technologies such as LiDAR and multibeam sonar systems, increasing demand for real-time hydrographic data for navigation and safety at sea, and growing environmental concerns leading to the need for accurate hydrographic surveys for coastal management and marine conservation. However, factors such as the high cost of hydrographic surveys and the availability of free and open-source bathymetric data may restrain market growth to some extent.
This dataset contains raw data and processed data from the Dataverse Community Survey 2022. The main goal of the survey was to help the Global Dataverse Community Consortium (GDCC; https://dataversecommunity.global/) and the Dataverse Project (https://dataverse.org/) decide on what actions to take to improve the Dataverse software and the larger ecosystem of integrated tools and services as well as better support community members. The results from the survey may also be of interest to other communities working on software and services for managing research data. The survey was designed to map out the current status as well as the roadmaps and priorities of Dataverse installations around the world. The main target group for participating in the survey were the people/teams responsible for operating Dataverse installations around the world. A secondary target group were people/teams at organizations that are planning to deploy or considering deploying a Dataverse installation. There were 34 existing and planned Dataverse installations participating in the survey.
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In order to remain in line with the needs and expectations of its citizens, the City wishes to measure their level of satisfaction with its services and to ask their opinion on the changes that could be made to them. She therefore undertook a series of web surveys conducted by Léger Marketing. These will be done four times a year (June, September, December and March) between June 2019 and June 2021. The survey reports will be made public on the City's website and in open data on the Quebec Government's Data Quebec site. Each survey focuses on: * Municipal services in general (invariable from one survey to another) * Seasonal services; * Some specific files. The objectives of this approach * Evaluate the satisfaction of citizens with the services offered by the City and their citizen experience; * Identify their sources of satisfaction and dissatisfaction and the improvements they would like to see made as a priority; * Measure their adherence to certain projects to modify the provision of services.
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The dataset showcase the overall monthly results based on the partner organizations’ feedback on six statements, one per driver (shown below) – with the exception of Timeliness, which has two questions. Responses are calculated using a five-point scale from “Strongly Disagree” to “Strongly Agree”. 1. a) Timeliness: Overall, I am satisfied with the amount of time it took to receive SSC services. 1. b) Timeliness: When there is an unplanned outage or emergency, SSC addresses and resolves it in a timely manner. 2. Ease of Access: SSC service information is readily available online or from my SSC Account Team. 3. Positive Outcome: Overall, I was satisfied with the SSC services I received. 4. Process Aspects: When I have a problem or service delivery issue, SSC keeps me and my department up to date on the resolution. 5. Engagement Experience: My SSC Account Team manages the relationship effectively.
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The City of Montreal assesses the level of satisfaction of citizens with municipal services. A first wave of satisfaction surveys took place in the fall of 2014. The City of Montreal satisfaction study includes three satisfaction surveys conducted among the Montreal population, as well as a satisfaction survey among businesses in the City of Montreal: 1. Survey of citizens' satisfaction with collective and individual services; 2. Survey of citizen satisfaction with telephone service 311; 3. Satisfaction survey among citizens of the nine largest municipalities in Quebec; 4. Survey of satisfaction of businesses with collective and individual services. ### Objectives of the survey: - Evaluate indicators relating to the reputation of the City of Montreal - Evaluate satisfaction with collective services - Evaluate satisfaction with collective services - Evaluate satisfaction with individual service - Identify priorities for action to move the satisfaction needle
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Seasonally adjusted receipts of monthly survey of food services and drinking places, by North American Industry Classification System (NAICS), monthly, for five months of data.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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The polling stations of Lichfield District Council. This points of interest dataset has been sourced from the District Councils revenue systems, Council Tax and Non domestic rates database. The data is held within the Council Local Land and Property Gazetteer for address management purposes.
All data released is open source with all restricted data removed.
REVISED : 15th March 2017
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The table consolidates the human resources, financial resources and contracting services on evaluation and the use of evaluation reports submitted by large departments and agencies.
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ABOUT THE COMMUNITY SURVEY DATASET
Final Reports for ETC Institute conducted annual community attitude surveys for the City of Tempe. These survey reports help determine priorities for the community as part of the City's on-going strategic planning process.
In many of the survey questions, survey respondents are asked to rate their satisfaction level on a scale of 5 to 1, where 5 means "Very Satisfied" and 1 means "Very Dissatisfied" (while some questions follow another scale). The survey is mailed to a random sample of households in the City of Tempe and has a 95% confidence level.
PERFORMANCE MEASURES
Data collected in these surveys applies directly to a number of performance measures for the City of Tempe including the following (as of 2020):
1.04 Fire Services Satisfaction1.06 Victim Not Reporting Crime to Police1.07 Police Services Satisfaction1.09 Victim of Crime1.10 Worry About Being a Victim1.11 Feeling Safe in City Facilities1.23 Feeling of Safety in Parks
2.02 Customer Service Satisfaction2.04 City Website Quality Satisfaction2.06 Police Encounter Satisfaction2.15 Feeling Invited to Participate in City Decisions2.21 Satisfaction with Availability of City Information
3.16 City Recreation, Arts, and Cultural Centers3.17 Community Services Programs3.19 Value of Special Events3.23 Right of Way Landscape Maintenance3.36 Quality of City Services
No Performance Measures in this category presently relate directly to the Community Survey
No Performance Measures in this category presently relate directly to the Community Survey
Additional Information
Source: Community Attitude Survey
Contact (author): Wydale Holmes
Contact E-Mail (author): wydale_holmes@tempe.gov
Contact (maintainer): Wydale Holmes
Contact E-Mail (maintainer): wydale_holmes@tempe.gov
Data Source Type: PDF
Preparation Method: Data received from vendor
Publish Frequency: Annual
Publish Method: Manual
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The public use microdata file (PUMF) from the Canadian Internet Use Survey (CIUS) provides data on the adoption and use of digital technologies and the online behaviors of individuals 15 years of age and older living in the ten provinces of Canada. The survey is built off the previous iteration of the CIUS, last conducted in 2012. While there is some comparability with the 2012 CIUS, the 2018 survey was redesigned in 2018 to reflect the rapid pace at which Internet technology has evolved since the previous survey iteration. The files include information on how individuals use the Internet, smartphones, and social networking websites and apps, including their intensity of use, demand for certain online activities, and interactions through these technologies. It also provides information on the use of online government services, digital skills, online work, and security, privacy and trust as it relates to the Internet.
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The Tempe Fire Medical Rescue Department (TFMR) is an “all hazards” department that responds to all types of calls for service. The City of Tempe collects data from an annual Community Survey and the monthly TFMR Customer Service Survey to gauge resident perceptions about the quality and satisfaction of city services, programs and direction. The survey results help to determine priorities for the community as part of the City's ongoing strategic management process.This page provides data for the Fire Services Satisfaction performance measure. Summarized Responses to the Fire Services Customer Survey question "Overall, how would you rate the Fire/EMS service you received?" Answers are provided on a scale of 1 to 5, with 5 being “Exceeded my expectation” and 1 being “Did not meet my expectation”.The performance measure dashboard is available at 1.04 Fire Services SatisfactionAdditional InformationSource: Fire Customer SurveyContact (author): Elaine PattisonContact E-Mail (author): Contact (maintainer): Elaine PattisonContact E-Mail (maintainer): Data Source Type: ExcelPreparation Method: Data downloaded from website (Survey Monkey).Publish Frequency: Monthly Publish Method: ManualData Dictionary
This study aims to investigate the impacts of offering this additional year of pre-primary education in Bangladesh on child development outcomes (cognitive and social emotional), and will examine the benefits relative to the costs of the program. The study will also examine the mechanisms through which EYPP affects the outcomes of interest (e.g., children's school readiness), and the operational and community conditions for program implementation. This study will provide evidence for the Government of Bangladesh on how and how much the additional year of preschool benefits children, and at what cost. In addition to informing future policy in Bangladesh, this information may also be useful for other countries considering similar programming.
Three Upazilas - Gangni, Meherpur Sadar, and Mujibnagar under Meherpur District
All children that participated in the Baseline survey and their respective households were selected as the sample frame for the Midline survey. Table 1 of the survey report presents the targeted coverage by upazila and intervention area. In addition, 50 treatment school (Rangdhuno) teachers were also selected for interview using a structured questionnaire. To gain further insights on the pre-school performance and school community, four Focus Group Discussions (FGD) with School Management Committee (SMC) were conducted in Meherpur Sadar. Of the 1,856 children recruited for this study, 908 were girls and 948 were boys.
Computer Assisted Personal Interview [capi]
Alike the baseline survey, International Development and Early Learning Assessment (IDELA) tools is used for preschool children development assessment. The instrument used for collection of household information was revised and a new instrument to conduct Early Year Pre-School Program (EYPP) school teacher interview was introduced. Customized software was developed for the IDELA test; for the household data collection using Open Data Kit (ODK) tool. ODK is a free and open-source set of tools to manage mobile data collection solutions. Developing the IDELA tools under ODK was not difficult, involving minor modifications to an earlier version. Apps for household data collection was developed by DI.
The National Health Interview Survey (NHIS) is the principal source of information on the health of the civilian noninstitutionalized population of the United States and is one of the major data collection programs of the National Center for Health Statistics (NCHS) which is part of the Centers for Disease Control and Prevention (CDC). The National Health Survey Act of 1956 provided for a continuing survey and special studies to secure accurate and current statistical information on the amount, distribution, and effects of illness and disability in the United States and the services rendered for or because of such conditions. The survey referred to in the Act, now called the National Health Interview Survey, was initiated in July 1957. Since 1960, the survey has been conducted by NCHS, which was formed when the National Health Survey and the National Vital Statistics Division were combined.
NHIS data are used widely throughout the Department of Health and Human Services (DHHS) to monitor trends in illness and disability and to track progress toward achieving national health objectives. The data are also used by the public health research community for epidemiologic and policy analysis of such timely issues as characterizing those with various health problems, determining barriers to accessing and using appropriate health care, and evaluating Federal health programs.
The NHIS also has a central role in the ongoing integration of household surveys in DHHS. The designs of two major DHHS national household surveys have been or are linked to the NHIS. The National Survey of Family Growth used the NHIS sampling frame in its first five cycles and the Medical Expenditure Panel Survey currently uses half of the NHIS sampling frame. Other linkage includes linking NHIS data to death certificates in the National Death Index (NDI).
While the NHIS has been conducted continuously since 1957, the content of the survey has been updated about every 10-15 years. In 1996, a substantially revised NHIS questionnaire began field testing. This revised questionnaire, described in detail below, was implemented in 1997 and has improved the ability of the NHIS to provide important health information.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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This dataset measures satisfaction with the services provided to municipalities through MMAH's regional offices. Dataset includes the following information (where available) * Line of Business * Year * Region * Overall Satisfaction * Service 1 - Service 11 * Frequency * Value 1 - Value 14 * Accessibility * Time * Information * Knowledge * Courtesy * Fair * Follow through * Accuracy * Current * Extra Mile * Engaged * Professional * In Person * Online * Association * Email * Meeting * Mail * Telephone * Web * Teleconference *[MMAH]: Ministry of Municipal Affairs and Housing
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Recent guidance on environmental modeling and global land-cover validation stresses the need for a probability-based design. Additionally, spatial balance has also been recommended as it ensures more efficient sampling, which is particularly relevant for understanding land use change. In this paper I describe a global sample design and database called the Global Grid (GG) that has both of these statistical characteristics, as well as being flexible, multi-scale, and globally comprehensive. The GG is intended to facilitate collaborative science and monitoring of land changes among local, regional, and national groups of scientists and citizens, and it is provided in a variety of open source formats to promote collaborative and citizen science. Since the GG sample grid is provided at multiple scales and is globally comprehensive, it provides a universal, readily-available sample. It also supports uneven probability sample designs through filtering sample locations by user-defined strata. The GG is not appropriate for use at locations above ±85° because the shape and topological distortion of quadrants becomes extreme near the poles. Additionally, the file sizes of the GG datasets are very large at fine scale (resolution ~600 m × 600 m) and require a 64-bit integer representation.
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Sample Size for Frequency in a Population (from OpenEpi, Version 3, open source calculator—SSPropor).
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