Graph and download economic data for Gross Domestic Product: All Industry Total in the New England BEA Region (NENGNGSP) from 1997 to 2024 about New England BEA Region, GSP, industry, GDP, and USA.

About this dataset

Context

The dataset tabulates the data for the New England, ND population pyramid, which represents the New England population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 New England, ND, is 13.5.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for New England, ND, is 21.1.
• Total dependency ratio for New England, ND is 34.6.
• Potential support ratio, which is the number of youth (working age population) per elderly, for New England, ND is 4.7.

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 for the New England population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the New England for the selected age group is shown in the following column.
• Population (Female): The female population in the New England for the selected age group is shown in the following column.
• Total Population: The total population of the New England 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 New England Population by Age. You can refer the same here

Graph and download economic data for Real Gross Domestic Product: All Industry Total in the New England BEA Region (NENGRQGSP) from Q1 2005 to Q1 2025 about New England BEA Region, GSP, real, industry, GDP, and USA.

What is it?The “Regional self-reliance model of the New England food system” explores future scenarios of regional food self-reliance. In this model, self-reliance is defined as the ratio of production to consumption and can be expressed for individual commodities, food groups, or the overall diet. The model allows a user to define assumptions about diet composition and target self-reliance for different groups of foods. The model estimates the regional self-reliance across seven food groups (grains, vegetables, fruits, dairy, protein-rich foods, fats and oils, and sweeteners) and for the overall diet. In addition, the model calculates land requirements for producing the target amounts of food from New England agriculture. These estimates are presented beside data on current land use to place the results in context.Why was it generated?The model was generated as part of the New England Feeding New England (NEFNE) project. The central question of NEFNE was, "What would it take for 30% of the food consumed in New England to be regionally produced by 2030?" The model addresses the agricultural production capacity of the region, while accounting for the contribution of capture fisheries and aquaculture to food production. The purpose of the model is to estimate the production capacity of the region’s land resources to evaluate the land requirements of increasing regional self-reliance in food.How was it generated?A team of researchers collaborated to construct the model. The model builds on prior work on regional self-reliance, the human carrying capacity of agricultural resources, and analysis of livestock feed requirements. As described below, the model estimates the land requirements of supplying a given level of self-reliance, accounting for food needs, food losses and waste, livestock feed requirements, crop yields, and land availability.Starting from the food consumption end of the food system, the model takes input data on food intake (in servings person-1 day-1) by food group (e.g., grains) and distributes consumption across primary food commodities from that food group (e.g., corn meal, wheat flour) in the Loss-Adjusted Food Supply. Intake for each primary food commodity is then converted into the equivalent quantity of agricultural commodity (in pounds year-1) needed to supply the region with a sufficient amount of that commodity to meet the target level of self-reliance, at a given projected population size. This conversion accounts for the serving size of the commodity (in grams), losses at different stages of the food system, and processing conversions. For animal products, a further step is taken to convert the quantity of food consumed into equivalent quantities of crop biomass required to feed the requisite livestock. Land requirements for each food are determined by dividing the agricultural commodity (for plant foods) or crop biomass requirements (for animal products) by regional average yields for the appropriate crop(s).Input data were collected from an array of secondary data sources, including, the Loss-Adjusted Food Supply, the Census of Agriculture, the New England Agricultural Bulletin, Major Land Uses, the Atlantic Coastal Cooperative Statistics Program Data Warehouse, and the NOAA Fisheries Landings data portal. Additional sources used to develop the model are cited in the workbook and reference information is provided in each worksheet. The unique contribution of the model is to organize the data in a form that permits exploration of alternative scenarios of diet, target self-reliance, and land availability for the New England region.

About this dataset

Context

The dataset tabulates the New England 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 New England. The dataset can be utilized to understand the population distribution of New England by age. For example, using this dataset, we can identify the largest age group in New England.

Key observations

The largest age group in New England, ND was for the group of age 20 to 24 years years with a population of 101 (15.35%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in New England, ND was the 75 to 79 years years with a population of 10 (1.52%). 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 New England is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of New England 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 New England Population by Age. You can refer the same here

This data set contains the 1995-era or early-date classifications of US coastal zone 65 and can be used to analyze change. This imagery was collected as part of the Multi-Resolution Land Characteristics program in a multi-agency effort to provide baseline multi-scale environmental characteristics and to monitor environmental change. This data set utilized 10 full or partial Landsat scenes which were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover. Note: These data were reprojected from their native projection into North American Datum 1983 (NAD83) / Massachusetts State Plane coordinate system, Mainland Zone (Fipszone 2001) meters by the Massachusetts Office of Coastal Zone Management on Oct. 12, 2006.

SUPPLEMENTAL INFORMATION: This Classification and change analysis is based on Landsat TM scenes: p11r30 (08/14/1995), p11r31 (09/12/1994), p12r30 (07/04/1995), p12r31 (08/21/1995), p12r32 (06/15/1994), p13r30 (07/29/1996), p13r31 (08/09/1994), p13r32 (08/09/1994), p14r29 (05/31/1995)

The New England Protected Open Space dataset maintained by Harvard Forest is a compilation of existing open space datasets in the New England region including The Nature Conservancy's Secured Areas, National Conservation Easement Database, Protected Areas Database of the U.S., and data provided by states and land trusts.

Two formats of the data are available here: a file geodatabase feature class and a shapefile.

It is recommended to use the geodatabase feature class if you have access to Esri products, as the POS field names are all longer than 10 characters and are truncated in the shapefile version.

Background and Data Limitations The Massachusetts 1830 map series represents a unique data source that depicts land cover and cultural features during the historical period of widespread land clearing for agricultural. To our knowledge, Massachusetts is the only state in the US where detailed land cover information was comprehensively mapped at such an early date. As a result, these maps provide unusual insight into land cover and cultural patterns in 19th century New England. However, as with any historical data, the limitations and appropriate uses of these data must be recognized: (1) These maps were originally developed by many different surveyors across the state, with varying levels of effort and accuracy. (2) It is apparent that original mapping did not follow consistent surveying or drafting protocols; for instance, no consistent minimum mapping unit was identified or used by different surveyors; as a result, whereas some maps depict only large forest blocks, others also depict small wooded areas, suggesting that numerous smaller woodlands may have gone unmapped in many towns. Surveyors also were apparently not consistent in what they mapped as ‘woodlands’: comparison with independently collected tax valuation data from the same time period indicates substantial lack of consistency among towns in the relative amounts of ‘woodlands’, ‘unimproved’ lands, and ‘unimproveable’ lands that were mapped as ‘woodlands’ on the 1830 maps. In some instances, the lack of consistent mapping protocols resulted in substantially different patterns of forest cover being depicted on maps from adjoining towns that may in fact have had relatively similar forest patterns or in woodlands that ‘end’ at a town boundary. (3) The degree to which these maps represent approximations of ‘primary’ woodlands (i.e., areas that were never cleared for agriculture during the historical period, but were generally logged for wood products) varies considerably from town to town, depending on whether agricultural land clearing peaked prior to, during, or substantially after 1830. (4) Despite our efforts to accurately geo-reference and digitize these maps, a variety of additional sources of error were introduced in converting the mapped information to electronic data files (see detailed methods below). Thus, we urge considerable caution in interpreting these maps. Despite these limitations, the 1830 maps present an incredible wealth of information about land cover patterns and cultural features during the early 19th century, a period that continues to exert strong influence on the natural and cultural landscapes of the region.

    Acknowledgements
    Financial support for this project was provided by the BioMap Project of the Massachusetts Natural Heritage and Endangered Species Program, the National Science Foundation, and the Andrew Mellon Foundation. This project is a contribution of the Harvard Forest Long Term Ecological Research Program.

This dataset tracks annual total students amount from 1988 to 2012 for New England Elementary School

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.

Gross Domestic Product: All Industry Total in the New England BEA Region was 1521380.50000 Mil. of $ in October of 2024, according to the United States Federal Reserve. Historically, Gross Domestic Product: All Industry Total in the New England BEA Region reached a record high of 1521380.50000 in October of 2024 and a record low of 705148.10000 in January of 2005. Trading Economics provides the current actual value, an historical data chart and related indicators for Gross Domestic Product: All Industry Total in the New England BEA Region - last updated from the United States Federal Reserve on June of 2025.

This geographic information system (GIS) data layer shows the generalized lithologic and geochemical, termed lithogeochemical, character of near-surface bedrock in the New England Coastal Basins (NECB) study area of the U.S. Geological Survey's National Water Quality Assessment (NAWQA) Program. The area encompasses 23,000 square miles in western and central Maine, eastern Massachusetts, most of Rhode Island, eastern New Hampshire and a small part of eastern Connecticut. The NECB study area includes the Kennebec, Androscogginn, Saco, Merrimack, Charles, and Blackstone River Basins, as well as all of Cape Cod. Bedrock units in the NECB study area are classified into 38 lithogeochemical units based on the relative reactivity of their constituent minerals to dissolution and the presence of carbonate or sulfide minerals. The 38 lithogeochemical units are generalized into 7 major groups: (1) carbonate-bearing metasedimentary rocks; (2)primarily noncalcareous, clastic sedimentary rocks w ...

Real Gross Domestic Product: All Industry Total in the New England BEA Region was 1202927.80000 Mil. of Chn. 2009 $ in January of 2024, according to the United States Federal Reserve. Historically, Real Gross Domestic Product: All Industry Total in the New England BEA Region reached a record high of 1202927.80000 in January of 2024 and a record low of 689814.20000 in January of 1997. Trading Economics provides the current actual value, an historical data chart and related indicators for Real Gross Domestic Product: All Industry Total in the New England BEA Region - last updated from the United States Federal Reserve on June of 2025.

This dataset summarizes land protection, conservation prioritization layer scores, and human demographics within New England communities, defined as census tracts. This dataset was created to identify disparities in land protection according to metrics of social marginalization and assess how incorporating environmental justice criteria into land conservation prioritization systems might change conservation priorities.

The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast and support local land-use decisions. Trends of shoreline position over long and short-term timescales provide information to landowners, managers, and potential buyers about possible future impacts to coastal resources and infrastructure. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates along ocean-facing sections of the Massachusetts coast. In 2013 two oceanfront shorelines for Massachusetts were added using 2008-2009 color aerial orthoimagery and 2007 topographic lidar datasets obtained from NOAA's Ocean Service, Coastal Services Center. In 2018, two new mean high water (MHW) shorelines for the Massachusetts coast extracted from lidar data between 2010-2014 were added to the dataset. This 2021 data release includes rates that incorporate one new shoreline extracted from 2018 lidar data collected by the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX), added to the existing database of all historical shorelines (1844-2014), for the North Shore, South Shore, Cape Cod Bay, Outer Cape, Buzzard’s Bay, South Cape, Nantucket, and Martha’s Vineyard. 2018 lidar data did not cover the Boston or Elizabeth Islands regions.

This dataset describes the long-term (~150+ years) shoreline change rates for the Boston, MA coastal region. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 5.1, an ArcGIS extension developed by the U.S. Geological Survey. Long-term and short-term rates of shoreline change were calculated using a linear regression rate based on available shoreline data. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate rates. This dataset consists of shoreline change rates calculated with DSAS v5.1 and stored as a new transect layer. Original measurement transects are cast by DSAS from the baseline to intersect shoreline vectors, and the intersect data provide location and time information used to calculate rates of change.

This layer shows land use for the Ipswich Study area, based upon MassGIS classification and grouped in accordance with the Anderson: Level I convention. It is intended to be used in connection with other Ipswich Study Area maps.

This dataset tracks annual enrollment from 2007 to 2024 for New England Institute of Technology vs. average enrollment per community college in Rhode Island

Land protection, whether public or private, is often controversial at the local level because residents worry about lost economic activity. We used panel data and a quasi-experimental impact-evaluation approach to determine how key economic indicators were related to the percentage of land protected. Specifically, we estimated the impacts of public and private land protection based on local area employment and housing permits data from 5 periods spanning 1990-2015 for all major towns and cities in New England. To generate rigorous impact estimates, we modeled economic outcomes as a function of the percentage of land protected in the prior period, conditional on town fixed effects, metro-region trends, and controls for period and neighboring protection. Contrary to narratives that conservation depresses economic growth, land protection was associated with a modest increase in the number of people employed and in the labor force and did not affect new housing permits, population, or median income. Public and private protection led to different patterns of positive employment impacts at distances close to and far from cities, indicating the importance of investing in both types of land protection to increase local opportunities. The greatest magnitude of employment impacts were due to protection in more rural areas, where opportunities for both visitation and amenity-related economic growth may be greatest. Overall, we provide novel evidence that land protection can be compatible with local economic growth and illustrate a method that can be broadly applied to assess the net economic impacts of protection.

This is a statewide, seamless digital dataset of land use / land cover for the State of Massachusetts derived using semi-automated methods and based on digital imagery captured in 2005 with 0.5 m pixel resolution. The project area encompasses the State of Massachusetts. The minimum mapping unit (MMU) for this dataset is 1 acre overall for the dataset. However, there are some exceptions: a MMU of 0.5 acre has been used for rural areas where there may be isolated residential, commercial, or industrial structures. In such cases, areas less than 1 acre and more than about 0.5 acre are mapped. In urban areas, the MMU is 1 acre. This implies that a water tower or a communication tower in the middle of a residential or commercial area may not be mapped out separately if it occupies less than 1 acre of land. In areas where assessor parcel data was available, Multi-family Residential, Commercial, and Industrial areas may be as small as 0.25 acre. The land use classification scheme used for these data is based on a coding schema used in previous land use datasets in Massachusetts with some modifications for the 2005 classification. Note: Complete metadata is available within the downloaded zip file. This metadata can be viewed with ESRI ArcGIS software, and can be exported to FGDC and ISO metadata formats.

Per Capita Personal Consumption Expenditures: Total for New England BEA Region was 65660.00000 $ in January of 2023, according to the United States Federal Reserve. Historically, Per Capita Personal Consumption Expenditures: Total for New England BEA Region reached a record high of 65660.00000 in January of 2023 and a record low of 23673.00000 in January of 1997. Trading Economics provides the current actual value, an historical data chart and related indicators for Per Capita Personal Consumption Expenditures: Total for New England BEA Region - last updated from the United States Federal Reserve on June of 2025.