Graph and download economic data for Real Per Capita Personal Income: Nonmetropolitan Portion for Massachusetts (MANMPRPIPC) from 2008 to 2023 about rural, MA, personal income, per capita, personal, income, real, and USA.

The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted between 1994 and 1998. The mapping was conducted in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and with support from the Canadian Hydrographic Service and the University of New Brunswick. The long-term goal of this mapping effort is to produce high-resolution geologic maps and a Geographic Information System (GIS) project that presents images and grids of bathymetry, shaded relief bathymetry, and backscatter intensity data from these surveys that will serve the needs of research, management and the public.

Graph and download economic data for Regional Price Parities: All Items: Nonmetropolitan Portion for Massachusetts (MANMPRPPALL) from 2008 to 2023 about rural, PPP, MA, all items, price, and USA.

The data describe freeway car-following behavior (such as velocity, acceleration, and relative position) for the car-following instances observed during 6 data collection runs, collected using an Instrumented Research Vehicle (IRV) along freeways and arterials in western Massachusetts in the summer of 2016 to better understand work zone driver behaviors. The USDOT Volpe National Transportation Systems Center (Volpe Center) identified, isolated, and classified individual car following instances from within the raw datasets (classification parameters included roadway type, level of congestion, and speed limit), then processed, refined, and cleaned the dataset. This table contains metadata about each data collection run. See also the instances table (https://datahub.transportation.gov/Automobiles/Enhancing-Microsimulation-Models-for-Improved-Work/74ug-57tr) and radar table (https://datahub.transportation.gov/Automobiles/Enhancing-Microsimulation-Models-for-Improved-Work/4qbx-egtn).

The dynamics of forest cover and the ecosystem services they provide are shaped by the land use and management decisions of thousands of individual landowners and the land use planning and conservation actions of towns and environmental organizations. Through an interdisciplinary investigation of the land use and forest conservation practices across two urban-to-rural transects between Boston and Central Massachusetts, we investigated the complex and coupled socio-ecological processes that shape the structure, function, and transformation of forested landscapes and how examine these processes may vary along urban-to-rural gradients. The survey data archived here is one element of this larger coupled natural-human systems project. The Community and Conservation Survey collected data regarding landowners’ attitudes and management practices on a variety of issues linked to conservation and the use of their own land. The objectives were to collect data that (a) increase our understanding of how landowners’ attitudes and behaviors vary across urban-to-rural gradients and (b) can be coupled with biogeochemical measurements across the study region to model variation in management behaviors.

Financial overview and grant giving statistics of Community Foundation of Western Massachusetts

Morocco MA: Rural Population data was reported at 13,613,921.000 Person in 2017. This records a decrease from the previous number of 13,630,950.000 Person for 2016. Morocco MA: Rural Population data is updated yearly, averaging 12,747,004.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 13,688,117.000 Person in 2004 and a record low of 8,709,245.000 Person in 1960. Morocco MA: Rural Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Morocco – Table MA.World Bank: Population and Urbanization Statistics. Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population. Aggregation of urban and rural population may not add up to total population because of different country coverages.; ; World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.; Sum;

A seismic reflection survey with concurrent bottom sampling was conducted in western Massachusetts Bay to obtain information on bottom topography and sediments, subbottom structure and composition, and the location of sand deposits potentially usable for restoration and nourishment of nearby beaches. Primary sediment data was derived from 43 cores. The predominant sediments of the surface and shallow subsurface deposits in the study area are fine sand, sand and gravel, and clayey silt. Sand suitable for beach restoration and nourishment on the contiguous coast occurs only locally and in generally small quantity relative to other sediments of the study area.

The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted between 1994 and 1998. The mapping was conducted in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and with support from the Canadian Hydrographic Service and the University of New Brunswick. The long-term goal of this mapping effort is to produce high-resolution geologic maps and a Geographic Information System (GIS) project that presents images and grids of bathymetry, shaded relief bathymetry, and backscatter intensity data from these surveys that will serve the needs of research, management and the public.

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

Geographic Extent: Central Maine, covering approximately 2,882 total square miles at QL 2. Western Massachusetts, covering approximately 815 total square miles at QL 1. Western Massachusetts, covering approximately 2,770 total square miles at QL 2.

      Dataset Description:
      The Maine and Massachusetts 20...

In FY 2023, over ********* of rural hospitals have more Medicare Advantage inpatient days than traditional Medicare. The share of rural hospitals has been ********** since 2018. This is detrimental to rural hospital finances, as MA reimburses hospitals at a lower rate than traditional Medicare.

This dataset provides information about the number of properties, residents, and average property values for Rural Lane cross streets in East Longmeadow, MA.

As part of the Boston University-led, Urban Long-Term Research Area - Exploratory Award (ULTRA-Ex), we established 135 circular, 15 m radius biometric plots extending across two Boston urban-to-rural gradients (Boston MA to Petersham MA and Boston MA to Worcester MA). The plots were stratified based on neighborhood (1 km2 surrounding area) characteristics for population density, impervious surface area fraction, and land cover. Within each plot we measured aboveground live and dead biomass, species characteristics, ground cover characteristics, and soil properties.

This dataset provides information about the number of properties, residents, and average property values for Rural Road cross streets in Belchertown, MA.

In 2010, the Census Bureau used the Census Block Group data to designate the urban boundaries by following the Census Bureau maintained road segments called TIGER. The Office of Transportation Planning, in cooperation with the regional planning agencies, adjusted the boundaries to follow the Road Inventory street segments, municipal boundaries, railroads, or water bodies. This polygon datalayer represents the final version of the adjusted urban boundaries, which is used to determine the Road Inventory official roadway functional classification.ProductionThe urban boundaries were digitized with the aid of 1:5000 road inventory, rail lines, streams, and MassGIS survey-level town boundariesStatusThis data is current as of 2013.

As urbanization and forest fragmentation increase around the globe, it is critical to understand how rates of respiration and carbon losses from soil carbon pools are affected by these processes. This study characterizes soils in fragmented forests along an urban to rural gradient, evaluating the sensitivity of soil respiration to changes in soil temperature and moisture near the forest edge. While previous studies found elevated rates of soil respiration at temperate forest edges in rural areas compared to the forest interior, we find that soil respiration is suppressed at the forest edge in urban areas. At urban sites, respiration rates are 25% lower at the forest edge relative to the interior, likely due to high temperature and aridity conditions near urban edges. While rural soils continue to respire with increasing temperatures, urban soil respiration rates asymptote as temperatures climb and soils dry. Soil temperature- and moisture-sensitivity modeling show that respiration rates in urban soils are less sensitive to rising temperatures than those in rural soils. Scaling these results to Massachusetts (MA), which encompasses 0.25 Mha of urban forest, we find that failure to account for decreases in soil respiration rates near urban forest edges leads to an overestimate of growing-season soil carbon fluxes of greater than 350,000 MgC. This difference is almost 2.5 times that for rural soils in the analogous comparison (underestimate of less than 143,000 MgC), even though rural forest area is more than four times greater than urban forest area in MA. While a changing climate may stimulate carbon losses from rural forest edge soils, urban forests may experience enhanced soil carbon sequestration near the forest edge. These findings highlight the need to capture the effects of forest fragmentation and land use context when making projections about soil behavior and carbon cycling in a warming and increasingly urbanized world. We provide soil respiration, soil temperature and soil volumetric water content (VWC) data collected from forest edge soils at 8 field sites in Massachusetts.

Financial overview and grant giving statistics of Jewish Federation Of Western

Laos Household Consumption: MA: Rural: Recreation data was reported at 29.200 LAK th in 2013. This records a decrease from the previous number of 69.000 LAK th for 2008. Laos Household Consumption: MA: Rural: Recreation data is updated yearly, averaging 26.600 LAK th from Mar 1998 (Median) to 2013, with 4 observations. The data reached an all-time high of 69.000 LAK th in 2008 and a record low of 11.182 LAK th in 1998. Laos Household Consumption: MA: Rural: Recreation data remains active status in CEIC and is reported by Lao Statistics Bureau. The data is categorized under Global Database’s Laos – Table LA.H006: Household Expenditure and Consumption Survey: Monthly Household Consumption: Rural.

Morocco MA: Rural Land Area Where Elevation is Below 5 Meters data was reported at 1,149.350 sq km in 2010. This stayed constant from the previous number of 1,149.350 sq km for 2000. Morocco MA: Rural Land Area Where Elevation is Below 5 Meters data is updated yearly, averaging 1,149.350 sq km from Dec 1990 (Median) to 2010, with 3 observations. The data reached an all-time high of 1,149.350 sq km in 2010 and a record low of 1,149.350 sq km in 2010. Morocco MA: Rural Land Area Where Elevation is Below 5 Meters data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Morocco – Table MA.World Bank.WDI: Land Use, Protected Areas and National Wealth. Rural land area below 5m is the total rural land area in square kilometers where the elevation is 5 meters or less.; ; Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.; Sum;