Measurements along the New Hampshire and Massachusetts coastal regions in 2009.

The dataset accompanies manuscript: "Monitoring off-host winter tick abundance on traditional moose hunting lands". It is a single table that includes counts of winter tick (Dermacentor albipictus) obtained by a modified flagging technique developed by the Penobscot Nation. The table includes both detection and site covariates used for the data analyses presented in the paper. Data were collected by the University of Massachusetts student Juliana Berube at 20 sites in west and central Massachusetts, USA (WCM), and 11 sites in the White Mountain National Forest and Umbegog National Wildlife Refuge in New Hampshire, USA (WMU). Data were collected from 6 September 2022 – 4 December 2022.

This dataset provides information about the number of properties, residents, and average property values for New Hampshire Avenue cross streets in Somerset, MA.

This report presents combined 2005 to 2010 National Survey on Drug Use and Health (NSDUH) results for those aged 12 or older in the Boston-Cambridge-Quincy, Massachusetts-New Hampshire metro area. The report includes estimates of substance use disorder, major depressive episode, illicit drug use, marijuana use, cigarette use, binge alcohol use, and the nonmedical use of prescription-type pain relievers. Results are provided for the Boston-Cambridge-Quincymetro area, Massachusetts, and the U.S. overall.

These data were automated to provide an accurate high-resolution historical shoreline of Massachusetts, New Hampshire suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The...

This dataset includes shorelines from 35 years ranging from 1850 to 2000 in the New England North coastal region from Popham Beach, Maine to the northern side of Cape Ann, Massachusetts. Shorelines were compiled from T-sheets (National Oceanic and Atmospheric Administration), T-sheets and air photos (Massachusetts Coastal Zone Management, National Oceanic and Atmospheric Administration), and lidar (USGS). Historical shoreline positions serve as easily understood features that can be used to describe the movement of beaches through time. These data are used to calculate rates of shoreline change for the U.S. Geological Survey's (USGS) National Assessment Project. Rates of long-term and short-term shoreline change were generated in a GIS using the Digital Shoreline Analysis System (DSAS) version 4.1. DSAS uses a measurement baseline method to calculate rate-of-change statistics. Transects are cast from the reference baseline to intersect each shoreline, establishing measurement points used to calculate shoreline change rates. Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate. Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion. As a result, there is an increased demand for accurate information regarding past and present shoreline changes. To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii under the National Assessment of Shoreline Change project. There is no widely accepted standard for analyzing shoreline change. Existing shoreline data measurements and rate calculation methods vary from study to study and prevent combining results into state-wide or regional assessments. The impetus behind the National Assessment project was to develop a standardized method of measuring changes in shoreline position that is consistent from coast to coast. The goal was to facilitate the process of periodically and systematically updating the results in an internally consistent manner..

This map layer shows currently operating marine aquaculture facilities based on the best available information from state aquaculture coordinators and programs. Currently, the dataset includes sites in Maine, New Hampshire, Massachusetts, Rhode Island, Connecticut, Eastern Suffolk County, New York, and offshore federal waters in the Northeast. It does not yet include other sites in New York State. The Northeast Ocean Data Working Group is collaborating with aquaculture coordinators in each state to fill data gaps and to improve accuracy of existing datasets. Because of inconsistencies among the datasets, map users are encouraged to read the map layer’s metadata and the metadata for each state’s data. Aquaculture in the northeast region is a diverse, vibrant industry with a large potential for growth. Massachusetts is ranked as the seventh largest producer of farmed shellfish in the nation. Oysters and other shellfish are predominant products of the industry, however finfish hatcheries comprise a significant segment of the sector as well, especially in Maine and New Hampshire. This layer depicts current working marine aquaculture facilities in the northeast region, drawing on the best available information from Maine, New Hampshire, Massachusetts, Rhode Island, Connecticut and Eastern Suffolk County, New York aquaculture coordinators and programs. The Northeast Ocean Data Portal working group is continuing to work with aquaculture coordinators in each state to fill current data gaps and improve the accuracy of existing datasets. As such, this dataset should be considered a work in progress. The data user is encouraged to read this and the metadata of each individual states’ data carefully, as geometry, attribute details, and timeliness are not necessarily consistent among datasets used to develop this layer. Details of each state’s data source are described in the data processing section.View Dataset on the Gateway

About this dataset

Context

This list ranks the 18 cities in the Hampshire County, MA by New Zealander population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by New Zealander Population: This column displays the rank of city in the Hampshire County, MA by their New Zealander population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• New Zealander Population: The New Zealander population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as New Zealander. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Hampshire County New Zealander Population: This tells us how much of the entire Hampshire County, MA New Zealander population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

Project: NOAA Digital Orthophotography and Ancillary Oblique Imagery Collection for the Coasts of Main/New Hampshire, Massachusetts/Rhode Island/Connecticut, and Hudson River/Long Island /NY/NJ Contract No. EA133C11CQ0010 Reference No. NCNP0000-14-00967 Woolpert Order No. 74571 CONTRACTOR: Woolpert, Inc. The project represents the collection of digital oblique imagery for the coasts of Maine an...

This data release includes the results of state agency led electrofishing surveys conducted in lotic habitats in six states in the Northeastern U.S.: Maine, New Hampshire, Vermont, Massachusetts, Connecticut, and Rhode Island. The following state agencies collected the electrofishing data: Massachusetts Division of Fisheries & Wildlife, Vermont Department of Fish and Wildlife, Vermont Department of Environmental Conservation, Maine Department of Inland Fisheries & Wildlife, Rhode Island Department of Environmental Management, Connecticut Department of Energy and Environmental Protection, and New Hampshire Department of Fish and Game. The survey results are consolidated to a Hydrologic Unit Code (HUC)12 scale and includes surveys from November 1949 through December 2021 with most surveys occurring between 1985 and 2021. Fifty-three species and 24,553 surveys are represented in these data.

This geographic information system (GIS) data layer shows the dominant lithology and geochemical, termed lithogeochemical, character of near-surface bedrock in the New England region covering the states of Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont. The bedrock units in the map are generalized into groups based on their lithological composition and, for granites, geochemistry. Geologic provinces are defined as time-stratigraphic groups that share common features of age of formation, geologic setting, tectonic history, and lithology. This data set incorporates data from digital maps of two NAWQA study areas, the New England Coastal Basin (NECB) and the Connecticut, Housatonic, and Thames River Basins (CONN) areas and extends data to cover the states of Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont. The result is a regional dataset for the lithogeochemical characterization of New England (the layer named NE_LITH). Polygons in the final coverage are attributed according to state, drainage area, geologic province, general rock type, lithogeochemical characteristics, and specific bedrock map unit.

US Northeast Census Tracts contains the US Census tract geometries used as the unit of analysis for network metrics. The file "northeast_tracts.shp" includes a merged dataset with the borders of all census tracts in Connecticut, Maine, Massachusetts, New Hampshire, New York, Rhode Island, and Vermont. All other files in this repository are the original state-by-state sources used to create the final merged dataset. Census Tracts The 2020 census tract file is based on the 2020 Census. The following fields are included: USPS: United States Postal Service state abbreviation. GEOID: Geographic identifier — fully concatenated geographic code (State FIPS, County FIPS, Census Tract number). GEOIDFQ: Fully qualified geographic identifier — used to join with data.census.gov data tables. ALAND: Land area (square meters) — created for statistical purposes only. AWATER: Water area (square meters) — created for statistical purposes only. ALAND_SQMI: Land area (square miles) — created for statistical purposes only. AWATER_SQMI: Water area (square miles) — created for statistical purposes only. INTPTLAT: Latitude (decimal degrees). The first character is blank or “–” denoting North or South latitude respectively. INTPTLONG: Longitude (decimal degrees). The first character is blank or “–” denoting East or West longitude respectively. The .shp file in this repository includes its required companion files for correct GIS operation: .shx (spatial index), .dbf (attribute table), .prj (projection information), and .cpg (character encoding).

This dataset provides information about the number of properties, residents, and average property values for New Hampshire Avenue cross streets in Haverhill, MA.

The U.S. Geological Survey, in cooperation with the Federal Highway Administration (FHWA) and the Connecticut, Massachusetts, and Rhode Island Departments of Transportation (DOTs), gathered geospatial data to facilitate the development of a regional Stochastic Empirical Loading and Dilution Model (SELDM) application (Granato and others, 2023). As part of this study, the surficial geology of Connecticut, Massachusetts, Rhode Island, and contributing areas from neighboring states was compiled from disparate datasets and reclassified into two categories that represent presence or absence of sand and gravel deposits (also referred to as stratified drift). This dataset provides a key basin characteristic for the region that may be used to help FHWA and DOTs to address potential environmental impacts of transportation projects in accordance with the National Environmental Policy Act of 1969 (https://www.epa.gov/nepa). Knowledge of local surficial geology also may support the assessment of green infrastructure as methods to reduce the effect of highway and urban receiving waters. Furthermore, this dataset facilitates the estimation of streamflow statistics at ungaged locations in the regions, these statistics were shown to be among the most sensitive input variables for refining SELDM outputs (Granato and others, 2023). This data release provides the compiled raster dataset of sand and gravel deposits as a Georeferenced Tagged Image File Format (GeoTIFF) raster dataset. The spatial extent includes the entirety of Connecticut, Massachusetts, and Rhode Island, as well as portions of contributing area to these states in New Hampshire, New York, and Vermont. References: Granato, G.E., Spaetzel, A.B., and Jeznach, L.C., 2023, Approaches for assessing flows, concentrations, and loads of highway and urban runoff and receiving-stream stormwater in southern New England with the Stochastic Empirical Loading and Dilution Model (SELDM): U.S. Geological Survey Scientific Investigations Report 2023–5087, 152 p., https://doi.org/10.3133/sir20235087

This dataset provides information about the number of properties, residents, and average property values for New Hampshire Avenue cross streets in Somerville, MA.

These datasets record mortality rates across all ages in the USA by cause of death, sex, and rural/urban status, 2011–2013. The dataset represents the rates for each administrative region under the Department of Health and Human Services (HHS).

HHS Region 01 - Boston: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont

HHS Region 02 - New York: New Jersey, New York, Puerto Rico, and the Virgin Islands

HHS Region 03 - Philadelphia: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, and West Virginia

HHS Region 04 - Atlanta: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, and Tennessee

HHS Region 05 - Chicago: Illinois, Indiana, Michigan, Minnesota, Ohio, and Wisconsin

HHS Region 06 - Dallas: Arkansas, Louisiana, New Mexico, Oklahoma, and Texas

HHS Region 07 - Kansas City: Iowa, Kansas, Missouri, and Nebraska

HHS Region 08 - Denver: Colorado, Montana, North Dakota, South Dakota, Utah, and Wyoming

HHS Region 09 - San Francisco: Arizona, California, Hawaii, Nevada, American Samoa, Commonwealth of the Northern Mariana Islands, Federated States of Micronesia, Guam, Marshall Islands, and Republic of Palau

HHS Region 10 - Seattle: Alaska, Idaho, Oregon, and Washington

Stated preference choice experiment data were collected in conjunction with NMFS’ Marine Recreational Fisheries Statistics Survey (MRFSS) along the coastal states of Maine, New Hampshire, and Massachusetts during 2014. All anglers intercepted in Maine, New Hampshire, and Massachusetts for NMFS' Marine Recreational Information Program (MRIP) intercept survey were asked to participate in a voluntary follow-up mail survey. Anglers who agreed to participate in the follow-up were sent mail questionnaires using a modified Dillman Tailored Design. The choice experiment survey asked anglers that have targeted Gulf of Maine cod, haddock, or pollock to simultaneously compare features of different hypothetical fishing trips and then to choose the trip they liked best. The features or attributes varied across trips and included bag and size limits of each species, the number of legal-sized fish caught of each species, the number of sub-legal sized fish caught of each species, the number of other types of fish that were legally kept, the trip length in hours, and the total trip cost. Respondents were also permitted to choose an opt-out option which was “Do something else: Freshwater fishing, Saltwater fishing for species other than cod, haddock and pollock, or don't go fishing.†The collection of choice responses from the various choice scenarios allows for the examination of tradeoffs and behavioral responses to various biological and regulatory changes. A total of 1,763 surveys were mailed out and 481 completed mail surveys were returned for a response rate of 27%.

This dataset provides information about the number of properties, residents, and average property values for New Hampshire Avenue cross streets in Pittsfield, MA.

This data set contains an inventory of natural and anthropogenic methane emissions for all counties in the six New England states of Connecticut, Rhode Island, Massachusetts, Vermont, New Hampshire, and Maine. The inventory represents a snapshot in time (circa 1990-1994) and provides emission estimates for multiple sources including wetlands, landfills, ruminant animals, residential wood combustion, fossil fuel combustion and use, animal manure, wastewater treatment, and natural gas transmission pipelines. Also included is the uptake or sink of methane in relatively well-drained upland soils.