Point locations of domestic wells reported to the Maine Geological Survey. This dataset is based on an original survey of well drillers in the 1970s, a voluntary well driller reporting program in the mid-1980s, and the present mandatory reporting program which relies on the submission of well information by drillers. Wells have been located using GPS coordinates submitted by the drillers, e911 address information submitted by the drillers and/or ownership data and tax records.

Pennsylvania Water Wells Points representing approximate locations of water wells within Pennsylvania that are recorded in the Pennsylvania Groundwater Information System (PaGWIS). In addition to identifying and location information, layer attributes include water use, well use, and depth to bedrock (if bedrock was reached). Data does not include public-water supplies. More extensive water-well data can be found by searching for specific water wells on the interactive PaGEODE web-map application at https://gis.dcnr.pa.gov/pageode/. This ArcGIS Online copy of the dataset is updated 1 time/month. FIELDALIASTYPEDESCRIPTIONPAWellIDPA Well IDStringUnique identifier assigned by PaGWIS to identify the well.CountyCounty NameStringName of the county in which the well is locatedMunicipalityMunicipality NameStringName of the municipality in which the well is locatedQuadrangleQuadrangle NameStringName of the quadrangle in which the well is locatedWell_AddressWell AddressStringStreet address associated with the water-well site as entered on the water-well record by the driller.Well_Zip_CodeWell Zip CodeStringZip code where the well is locatedLatitudeDDLatitudeDoubleLatitude (in decimal degrees) where the well is locatedLongitudeDDLongitudeDoubleLongitude (in decimal degrees) where the well is locatedLocation_MethodLocation Collection MethodStringMethod used to collect the coordinates of the wellLocal_Well_NumberLocal Well NumberStringA well identification number used by a local agency that differs from the PA Well IDTopographyTopography TypeStringType of topography the well is located withinSite_TypeType of SiteStringType of site the well is located onBedrock_Depth_FTDepth to Bedrock (Ft)StringDepth to Bedrock as measured in feetBedrock_ReachedBedrock ReachedStringWas bedrock reached during the excavation of the wellData_SourceSource of RecordStringSource of RecordData_ReliabilityData ReliabilityStringInternal assessment of the reliability of the dataWater_UseWater UseStringClassification of how the extracted water is usedWell_UseWell UseStringClassification of the well usageWell_DepthWell DepthStringDepth of the well in feetWell_Yield_GPMWell Yield GPMStringYield of the well (gallon/min)

View records about wells in Massachusetts, including location, well depth, and condition. Data spans 1962 to present day.

A dataset of well information and geospatial data was developed for 426 U.S. Geological Survey (USGS) observation wells in Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont. An extensive list of attributes is included about each well, its location, and water-level history to provide the public and water-resources community with comprehensive information on the USGS well network in New England and data available from these sites. These data may be useful for evaluating groundwater conditions and variability across the region. The well list and site attributes, which were extracted from USGS National Water Information System (NWIS), represent all of the active wells in the New England network up to the end of 2017, and an additional 45 wells that were inactive (discontinued or replaced by a nearby well) at that time. Inactive wells were included in the database because they (1) contain periods of water-level record that may be useful for groundwater assessments, (2) may become active again at some point, or (3) are being monitored by another agency (most discontinued New Hampshire wells are still being monitored and the data are available in the National Groundwater Monitoring Network (https://cida.usgs.gov/ngwmn/index.jsp). The wells in this database have been sites of water-level data collection (periodic levels and/or continuous levels) for an average of 31 years. Water-level records go back to 1913. The groundwater-level statistics included in the dataset represent hydrologic conditions for the period of record for inactive wells, or through the end of water year 2017 (September 30, 2017) for active wells. Geographic Information Systems (GIS) data layers were compiled from various sources and dates ranging from 2003 to 2018. These GIS data were used to calculate attributes related to topographic setting, climate, land cover, soil, and geology giving hydrologic and environmental context to each well. In total, the data include 90 attributes for each well. In addition to site number and station name, attributes were developed for site information (15 attributes); groundwater-level statistics through water year 2017 (16 attributes); well-construction information (9 attributes); topographic setting (11 attributes); climate (2 attributes); land use and cover (17 attributes); soils (4 attributes); and geology (14 attributes). Basic well and site information includes well location, period of record, well-construction details, continuous versus intermittent data collection, and ground altitudes. Attributes that may influence groundwater levels include: well depth, location of open or screened interval, aquifer type, surficial and bedrock geology, topographic position, flow distance to surface water, land use and cover near the well, soil texture and drainage, precipitation, and air temperature.

To ensure the integrity of water well construction and prevent potential pollution of state groundwaters, the OWRB supervises the licensing of water well drillers and pump installers. This program is guided by comprehensive standards developed in cooperation with the Well Drillers Advisory Committee. Licensed drillers are required to submit well logs online or by mail within sixty days of the completion of a new well or plugging or reconditioning of an existing well.Well Driller Licensing Fact Sheet

The locations of wells that have been drilled for oil production, gas or salt resources or for underground storage of hydrocarbons.This data can be used for land use and resource management, emergency management, as well as compliance and enforcement in the petroleum industry. The Data is collected on an on-going basis and maintained in the Ontario Petroleum Data System (OPDS). Additional Documentation Petroleum Well - Data DescriptionPetroleum Well - DocumentationPetroleum Well- User Guide Status
On going: data is being continually updated

Maintenance and Update Frequency

Semi-monthly: data is updated twice a month

Contact Petroleum Operations Section, Ministry of Natural Resources and Forestry, POSrecords@ontario.ca

The Wellbore Exploration and Location Logistic System (WELLS) Interactive Application is an interactive tool to enable easy exploration and visualization of the living national wellbore database (WELLS Database (https://edx.netl.doe.gov/dataset/wells_database)). The tool and underlying database were created and are maintained by the National Energy Technology Laboratory (NETL), providing visualization of the more than six million public wellbore records from more than 65 authoritative state, federal, and tribal resources. The WELLS Interactive Application serves up wellbore data from oil, gas, underground injection, research, geothermal, geotechnical, groundwater, and other types of wells in a single, standardized, unified system. In addition to the surface location of these wells, the underlying database combines select key attributes for features such as well age, depth, and operating status. The system also provides users with references back to the original sources used in this unified platform. The underlying data can be accessed through the WELLS Database: https://edx.netl.doe.gov/dataset/wells_database Additional Information: The WELLS Interactive Application (formerly titled CO2-Locate) enables visualization and access to the public wellbore records through an intuitive web-based mapping tool. The WELLS Interactive Application was designed to help users visualize, query, analyze, and download wellbore records. Public wellbore points are included as a layer in the Map page, called Public Wells. Additionally, a multivariate hexagon grid summarizing well density from proprietary well data, called Well Density, is included to identify data gaps between the public and proprietary well data. Filtering functionalities in the tool allow these two layers to be spatially filtered by state, county, or basin as well as by status, type, true vertical depth, and spud year. The WELLS Interactive Application also contains a Near Me tool can be used to search and explore wellbore data within a user-defined distance of a specified location on the map, which can also be downloaded. The Query tool allows users to query the selected or filtered wells in the Public Wells layer and export the data. For additional information on these tool functionalities, see the help documentation on the About page of the tool. Notes for Consideration: The Well Density layer provided in this application is derived from proprietary wellbore data, the records of which do not always contain values for key features (status, type, true vertical depth, or spud year). Therefore, data might not be available when layers are queried for all filter combinations. Additionally, visualizing layers and applying filters may take additional time to load (i.e., draw on the map) due to the large size of the data.

In this dataset we present two maps that estimate the location and population served by domestic wells in the contiguous United States. The first methodology, called the “Block Group Method” or BGM, builds upon the original block-group data from the 1990 census (the last time the U.S. Census queried the population regarding their source of water) by incorporating higher resolution census block data. The second methodology, called the “Road-Enhanced Method” or REM, refines the locations by using a buffer expansion and shrinkage technique along roadways to define areas where domestic wells exist. The fundamental assumption with this method is that houses (and therefore domestic wells) are located near a named road. The results are presented as two nationally consistent domestic-well population datasets. While both methods can be considered valid, the REM map is more precise in locating domestic wells; the REM map had a smaller amount of spatial bias (nearly equal vs biased in type 1 error), total error (10.9% vs 23.7%,), and distance error (2.0 km vs 2.7 km), when comparing the REM and BGM maps to a California calibration map. However, the BGM map is more inclusive of all potential locations for domestic wells. The primary difference in the BGM and the REM is the mapping of low density areas. The REM has a 57% reduction in areas mapped as low density (populations greater than 0 but less than 1 person per km), concentrating populations into denser regions. Therefore, if one is trying to capture all of the potential areas of domestic-well usage, then the BGM map may be more applicable. If location is more imperative, then the REM map is better at identifying areas of the landscape with the highest probability of finding a domestic well. Depending on the purpose of a study, a combination of both maps can be used. For space concerns, the datasets have been divided into two separate geodatabases. The BGM map geodatabase and the REM map database.

This dataset provides information submitted by well contractors as prescribed by Regulation 903, and is stored in the Water Well Information System (WWIS). Spatial information for all of the well records reported in Ontario are also provided. Well record map *[WWIS]: Water Well Information System This data is related to: * Well records * Map: Well records * Topic: Drinking water * Law: Reg. 903: Wells Related data: * Petroleum wells

This website contains information on the locations of well sites in the state of Ohio, but does not contain additional information like gamma ray, density, permeability, etc.

The table contains the domestic wells reported to the Maine Geological Survey that don't have spatial coordinates. This dataset is based on an original survey of well drillers in the 1970s, a voluntary well driller reporting program in the mid-1980s, and the present mandatory reporting program which relies on the submission of well information by drillers.

This dataset provides information about the number of properties, residents, and average property values for Clubhouse Road cross streets in Wells, ME.

Data from "Schools as Sources of PFAS Contamination of private wells in Rural Maine communities" In a community-engaged research project near Mount Desert Island High School in Bar Harbor, Maine, efforts were made to understand potential well contamination. This involved attending public meetings, distributing PFAS drinking water sample kits to homeowners, and collaborating on sample collection protocols. Surface water samples were collected from wetlands adjacent to the school, while drinking water samples were obtained from eight property owners, with careful adherence to sampling procedures to prevent contamination. Samples were analyzed for PFAS content and data are reported here.

The 1990 census was the last nationally consistent survey of a home’s source of water, and has not been surveyed since. The associated larger work presents a method for projecting the population dependent on domestic wells for years after 1990, using information from the 1990 census along with population data from subsequent censuses. The method is based on the “domestic ratio” at the census block-group level, defined here as the number of households dependent on domestic wells divided by the total population. Analysis of 1990 data (>220,000 block-groups) indicates that the domestic ratio is a function of the household density. As household density increases, the domestic ratio decreases, once a household density threshold is met. The 1990 data were used to develop a relationship between household density and the domestic ratio. The fitted model, along with household density data from 2000 and 2010, was used to estimate domestic ratios for each decadal year. In turn, the number of households dependent on domestic wells was estimated at the block-group level for 2000 and 2010. High-resolution census-block population data were used to downscale and refine the spatial distribution of domestic-well usage and to convert the data into population numbers. The results are aggregated to 1km x 1km pixels and presented in two datasets for each decadal year: a BGM (Block Group Method) dataset and an REM (Road Enhanced Method) dataset. This dataset is an estimation of the location and population served by domestic wells in the contiguous United States for 2000 using the Road-Enhanced Method.

Watersheds of three streams, the Mousam River, Branch Brook, and Merriland River in southeastern Maine were investigated from 2010 through 2013 under a cooperative project between the U.S. Geological Survey and the Maine Geological Survey. The Branch Brook watershed previously had been deemed at risk by the Maine Geological Survey because of the proportionally large water withdrawals compared to estimates of the in-stream flow requirements for habitat protection. The primary groundwater withdrawals in the study area include a water-supply well in the headwaters of the system and three water-supply wells in the coastal plain near the downstream end of the system. A steady-state groundwater flow model was used to understand the movement of water within the system, to evaluate the water budget and the effect of groundwater withdrawals on streamflows, and to understand streamflow depletion in relation to the State of Maine's requirements to maintain in-stream flows for habitat protection. Delineation of the simulated groundwater divides compared to the surface-water divides suggests that the groundwater divides in the headwater areas do not exactly correspond to the surface-water divides. Under both pumping and non-pumping conditions, groundwater flows from the headwaters of the Branch Brook watershed into the Mousam River watershed. Pumping in the Mousam River watershed captures a small amount of groundwater from the Branch Brook basin. The cumulative effect of groundwater withdrawals on base flows in two rivers in the study area (Branch Brook and the Merriland River) was evaluated using the groundwater flow model. Streamflow depletion in the headwaters of Branch Brook was 0.12 cubic feet per second (ft3/s) for the steady-state simulation, or about 10 percent of the average base flow at that location. Downstream on Branch Brook, the total streamflow depletion from all the wells was 0.59 ft3/s, or 3 percent of the average base flow at that location. In the Merriland River downstream from the Merriland River well, the total amount of streamflow depletion was 0.6 ft3/s, or about 7 percent of the average base flow. The groundwater model was used to evaluate several different scenarios that could affect streamflow and groundwater discharging to the rivers and streams in the study area. The scenarios were (1) no pumping from the water-supply wells; (2) current pumping from the water-supply wells, but simulated drought conditions (25 percent reduction in recharge); (3) current recharge, but with increased pumping from the large water-supply wells; and (4) drought conditions and increased pumping combined. Simulations of increased pumping in the water-supply wells resulted in streamflow depletion in the headwaters of Branch Brook increasing to 16 percent of the headwater base flow. Simulated increases in the pumping in the coastal plain wells increased the amount of streamflow depletion to 6 percent of the flow in Branch Brook and to 8 percent of the flow in the Merriland River. The additional stress of a drought imposed on the model (25 percent less recharge) had a substantial impact on streamflows, as expected. If the simulated drought occurred simultaneously with an increase in pumping, the base flows would be reduced 48 percent in the headwaters of Branch Brook, compared to the no-pumping scenario. Downstream in Branch Brook, the total reduction in flow would be 29 percent of the simulated base flows in the no-pumping scenario, and in the Merriland River, the reduction would be 33 percent of the base flows in the no-pumping scenario. The study evaluated two different methods of calculating in-stream flow requirements for Branch Brook and the Merriland Rivera set of statewide equations used to calculate monthly median flows and the MOVE.1 record-extension technique used on site-specific streamflow measurements. The August median in-stream flow requirement in the Merriland River was calculated as 7.18 ft3/s using the statewide equations but was 3.07 ft3/s using the MOVE.1 analysis. In Branch Brook, the August median in-stream flow requirements were calculated as 20.3 ft3/s using the statewide equations and 11.8 ft3/s using the MOVE.1 analysis. In each case, using site-specific data yields an estimate of in-stream flow that is much lower than an estimate the statewide equations provide.

About this dataset

Context

The dataset tabulates the Wells town population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Wells town. The dataset can be utilized to understand the population distribution of Wells town by age. For example, using this dataset, we can identify the largest age group in Wells town.

Key observations

The largest age group in Wells, Maine was for the group of age 65 to 69 years years with a population of 1,144 (9.91%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Wells, Maine was the 80 to 84 years years with a population of 229 (1.98%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Wells town is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Wells town total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Wells town Population by Age. You can refer the same here

This dataset provides information about the number of properties, residents, and average property values for Sanford Road cross streets in Wells, ME.

About this dataset

Context

The dataset tabulates the Wells town Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Wells town, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of Wells town.

Key observations

Among the Hispanic population in Wells town, regardless of the race, the largest group is of Mexican origin, with a population of 217 (83.78% of the total Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Origin for Hispanic or Latino population include:

• Mexican
• Puerto Rican
• Cuban
• Other Hispanic or Latino

Variables / Data Columns

• Origin: This column displays the origin for Hispanic or Latino population for the Wells town
• Population: The population of the specific origin for Hispanic or Latino population in the Wells town is shown in this column.
• % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of Wells town total Hispanic or Latino population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Wells town Population by Race & Ethnicity. You can refer the same here

Comprehensive dataset containing 64 verified Well drilling contractor businesses in Maine, United States with complete contact information, ratings, reviews, and location data.

About this dataset

Context

The dataset tabulates the data for the Wells, Maine population pyramid, which represents the Wells town population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Wells, Maine, is 26.3.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Wells, Maine, is 52.4.
• Total dependency ratio for Wells, Maine is 78.7.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Wells, Maine is 1.9.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Wells town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Wells town for the selected age group is shown in the following column.
• Population (Female): The female population in the Wells town for the selected age group is shown in the following column.
• Total Population: The total population of the Wells town for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Wells town Population by Age. You can refer the same here