GRU Customer Reclaimed Water Consumption

Monthly reclaimed water consumption in Kilo-gallons (kgals) by service address for all customers in the GRU Service Area. Reclaimed water is also known as sewer or wastewater. (Potable water use can be found in another dataset)

Stormwater_Features

For NPDES Stormwater sewer system enhanced mapping project. Contains a GIS polygon feature class of stormwater basins in Gainesville, FL as a result of the NPDES stormwater system mapping project. This feature does not participate in the GIS network, and is for cartographic purposes only. This file is current only up to 02/04/08 and may be incomplete, and only covers those areas of Gainesville, FL that have been mapped up to 02/04/08. The file is also subject to constant updating as project progresses. This feature class is for informational purposes only. Do not rely on this file for accuracy of dimensions, size or location. The City of Gainesville does not assume responsibility to update this information for any error or omission in this file. This shapefile may indicate the zoning/land use on the properties as shown. Do not rely on this file for accuracy of dimensions. For specific information, contact the City of Gainesville, Florida.

Road Weather Demonstration Data

The Belle Isle data was collected between May 1st, 2014 and September 16th, 2014 on the Belle Isle Park in Michigan. However, within the data file provided as part of this data environment, only data during the World Congress demonstration period from September 5, 2014 to September 11, 2014 is included. Several vehicles equipped with multiple sensors drove around the island collecting 572,030 readings of multiple variables. The uploaded data file lists all those observations and the pertaining details about the sensor equipment, the sensor platform and the status of quality checking performed for each observation.

Parcel

Municipal Fiscal Statistics - Consolidated Revenues and Expenses by Municipality

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 (DMAH) through the standard Financial Information Return (FIR). The Province then compiles an Annual Municipal Statistics Report based on the data municipalities provide.

Land Use_data

This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the Northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the Southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe’s Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe’s Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS.

RSBS SMO: Part 2 of 2, New York State Residential Statewide Baseline Study: Single and Multifamily Occupant Telephone or Web Survey

How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov. This is part 2 (contains: Clothes Washing and Drying; Water Heating; Home Lighting; Pool and Spa; Small Household Appliances; and Miscellaneous Equipment) of 2; part 1 (https://data.ny.gov/d/3m6x-h3qa) contains: Behavior and Demographics; Building Shell; Kitchen Appliances; and Heating and Cooling. The New York State Energy Research and Development Authority (NYSERDA), in collaboration with the New York State Department of Public Service (DPS), conducted a statewide residential baseline study (study) from 2011 to 2014 of the single-family and multifamily residential housing segments, including new construction, and a broad range of energy uses and efficiency measures. This dataset includes 2,982 single-family and 379 multifamily occupant survey completes for a total of 3,361 responses. The survey involved 2,285 Web, 1,041 telephone, and 35 mini-inspection surveys. The survey collected information on the following building characteristics: building shell, kitchen appliances, heating and cooling equipment, water heating equipment, clothes washing and drying equipment, lighting, pool and spa equipment, small household appliances, miscellaneous energy consuming equipment, as well as behaviors and characteristics of respondents.

Community Perceptions Survey 2021

The Cincinnati Community Perceptions Survey was developed by the City's Office of Performance and Data Analytics and ETC Institute in the fall of 2021. This community engagement tool was designed to allow the City Administration to evaluate resident satisfaction with our services and measure that level of satisfaction against cities of similar size, location, and demographics. The survey design also allows the City to capture community priorities for investment in services over the next two years. The survey was administered during the winter of 2021 by mail to a random sample of households across the city, and was available to complete by mail or online. The goal of 1,200 completed surveys was exceeded, with a total of 1,408 residents completing the survey. The overall residents for the sample of 1,408 households have a precision of at least +/-2.6% at the 95% level of confidence, and are demographically representative of our city's population. This year's survey will set a baseline for Cincinnati to work from with the goal of better understanding where we are excelling in service delivery and where our local government could benefit from intentional improvement and resources. Find the link to the Survey landing page here: https://etcinstitute.com/directionfinder2-0/city-of-cincinnati-ohio/

Community Perceptions Survey 2023

The Cincinnati Community Perceptions Survey was developed by the City's Office of Performance and Data Analytics and ETC Institute in the fall of 2021. This community engagement tool was designed to allow the City Administration to evaluate resident satisfaction with our services and measure that level of satisfaction against cities of similar size, location, and demographics. The survey design also allows the City to capture community priorities for investment in services over the next two years. The survey was administered during the winter of 2023 by mail to a random sample of households across the city, and was available to complete by mail or online. The goal of 1,200 completed surveys was met, with a total of 1,235 residents completing the survey. The overall residents for the sample of 1,408 households have a precision of at least +/-2.8% at the 95% level of confidence, and are demographically representative of our city's population. This survey provides insight into where we are excelling in service delivery and where our local government could benefit from intentional improvement and resources. Read the full report on survey results here: https://www.cincinnati-oh.gov/manager/community-survey/ Find the Community Perceptions Survey Dashboard here: https://insights.cincinnati-oh.gov/stories/s/Community-Perceptions-Survey-Version-2/3nn5-m4kg/ Find the 2021 Community Perceptions Survey Data here: https://data.cincinnati-oh.gov/efficient-service-delivery/Community-Perceptions-Survey-2021/pkyn-d5t4/about_data