West Virginia and Kansas had the lowest cost of living across all U.S. states, with composite costs being half of those found in Hawaii. This was according to a composite index that compares prices for various goods and services on a state-by-state basis. In West Virginia, the cost of living index amounted to **** — well below the national benchmark of 100. Virginia— which had an index value of ***** — was only slightly above that benchmark. Expensive places to live included Hawaii, Massachusetts, and California. Housing costs in the U.S. Housing is usually the highest expense in a household’s budget. In 2023, the average house sold for approximately ******* U.S. dollars, but house prices in the Northeast and West regions were significantly higher. Conversely, the South had some of the least expensive housing. In West Virginia, Mississippi, and Louisiana, the median price of the typical single-family home was less than ******* U.S. dollars. That makes living expenses in these states significantly lower than in states such as Hawaii and California, where housing is much pricier. What other expenses affect the cost of living? Utility costs such as electricity, natural gas, water, and internet also influence the cost of living. In Alaska, Hawaii, and Connecticut, the average monthly utility cost exceeded *** U.S. dollars. That was because of the significantly higher prices for electricity and natural gas in these states.

Graph and download economic data for Estimated Mean Real Household Wages Adjusted by Cost of Living for Essex County, MA (MWACL25009) from 2009 to 2023 about Essex County, MA; Boston; adjusted; MA; average; wages; real; and USA.

About this dataset

Context

This list ranks the 345 cities in the Massachusetts by Hispanic Black or African American population, as estimated by the United States Census Bureau. It also highlights population changes in each cities 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
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Hispanic Black Population: This column displays the rank of cities in the Massachusetts by their Hispanic Black or African American population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Hispanic Black Population: The Hispanic Black population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as Hispanic Black. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Massachusetts Hispanic Black Population: This tells us how much of the entire Massachusetts Hispanic Black population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis 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/.

Certified by the Executive Office of Aging & Independence, Assisted Living Residences (ALRs) are private residences that offer, for a monthly fee, housing, meals, and personal care services to aging adults who live independently.

Every certified Assisted Living Residence submits an annual profile of their residence.

How racially diverse are residents in Massachusetts? This topic shows the demographic breakdown of residents by race/ethnicity and the increases in the Non-white population since 2010.

This dataset is about books. It has 3 rows and is filtered where the book subjects is Massachusetts-Religious life and customs. It features 9 columns including author, publication date, language, and book publisher.

This dataset displays the locations of all the public libraries in the state of Massachusetts. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national filewith no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independentdata set, or they can be combined to cover the entire nation. The Census Bureau includes landmarks in the MTDB for locating special features and to help enumerators during field operations. Some of the more common landmark types include area landmarks such as airports, cemeteries, parks, schools, andchurches and other religious institutions. The Census Bureau added landmark features to MTDB on an as-needed basis andmade no attempt to ensure that all instances of a particular feature were included. The presence or absence of a landmark such as a hospital or prison does not mean that the living quarters associated with that landmark were geocoded to that census tabulation block or excluded from the census enumeration. The Area Landmark Shapefile does not include military installations or water bodies because they each appear in their own separate shapefiles, MIL.shp and AREAWATER.shp respectively.

This Long Term Care Residences point datalayer contains the locations of licensed nursing homes (NH), rest homes (RH), and assisted living facilities (ALF) in Massachusetts. Data on nursing homes and rest homes was by provided by Phil Mello, Division of Health Care Quality (DHCQ), Massachusetts Department of Public Health. A list of assisted living facilities information was provided by Beth Shelton, Massachusetts Executive Office of Elder Affairs. The update published in March of 2007 is based on listing as of May 2006 for ALF data and February 2007 for NH and RH data.Long-term care residences provide housing and services for individuals who are managing illness and/or disability attributed to physical and/or mental health conditions. While terminology may vary, generally long-term care facilities are distinguished by the type of medical and custodial (non-medical services such as dressing, bathing, etc.) care they provide, the relative independence of their residents, and the types of on-site amenities. Furthermore, some facilities cater to specific patient populations (e.g. Alzheimer's patients).For the purposes of this datalayer, a nursing home is defined as a residential facility that provides 24-hour nursing care, rehabilitative services and activities of daily living to the chronically ill who require a relatively high level of institutional support. A rest home provides 24-hour supervision and supportive services for individuals who do not routinely need nursing or medical care. Similarly, assisted living facilities provide residents with housing and various daily living support services, but usually do not offer medical care. Assisted living facilities often emphasize greater autonomy and privacy for residents through individual apartment-style rentals.Other residential facilities that provide long term care such as group homes (i.e. boarding homes or congregate housing) and hospice facilities are not explicitly specified in this datalayer. Many locations in this datalayer, however, may offer additional services ranging from independent retirement living to intensive skilled nursing and palliative care. Non-residential care locations such as adult day health, rehabilitation, and senior centers are omitted.The MassGIS metadata page for this layer can be seen here.

This dataset is no longer being updated as of 6/30/2022. It is being retained on the Open Data Portal for its potential historical interest.

In November 2020, the City of Cambridge began collecting and analyzing COVID-19 data from municipal wastewater, which can serve as an early indicator of increased COVID-19 infections in the city. The Cambridge Public Health Department and Cambridge Department of Public Works are using technology developed by Biobot, a Cambridge based company, and partnering with the Massachusetts Water Resources Authority (MWRA). This Cambridge wastewater surveillance initiative is funded through a $175,000 appropriation from the Cambridge City Council.

This dataset indicates the presence of the COVID-19 virus (measured as viral RNA particles from the novel coronavirus per ml) in municipal wastewater. The Cambridge site data here were collected as a 24-hour composite sample, which is taken weekly. The MWRA site data ere were collected as a 24-hour composite sample, which is taken daily. MWRA and Cambridge data are listed here in a single table.

An interactive graph of this data is available here: https://cityofcambridge.shinyapps.io/COVID19/?tab=wastewater

All areas within the City of Cambridge are captured across four separate catchment areas (or sewersheds) as indicated on the map viewable here: https://cityofcambridge.shinyapps.io/COVID19/_w_484790f7/BioBot_Sites.png. The North and West Cambridge sample also includes nearly all of Belmont and very small areas of Arlington and Somerville (light yellow). The remaining collection sites are entirely -- or almost entirely -- drawn from Cambridge households and workplaces.

Data are corrected for wastewater flow rate, which adjusts for population in general. Data listed are expected to reflect the burden of COVID-19 infections within each of the four sewersheds. A lag of approximately 4-7 days will occur before new transmissions captured in wastewater data would result in a positive PCR test for COVID-19, the most common testing method used. While this wastewater surveillance tool can provide an early indication of major changes in transmission within the community, it remains an emerging technology. In assessing community transmission, wastewater surveillance data should only be considered in conjunction with other clinical measures, such as current infection rates and test positivity.

Each location is selected because it reflects input from a distinct catchment area (or sewershed) as identified on the color-coded map. Viral data collected from small catchment areas like these four Cambridge sites are more variable than data collected from central collection points (e.g., the MWRA facility on Deer Island) where wastewater from dozens of communities are joined and mixed. Data from each catchment area will be impacted by daily activity among individuals living in that area (e.g., working from home vs. traveling to work) and by daytime activities that are not from residences (businesses, schools, etc.) As such, the Regional MWRA data provides a more stable measure of regional viral counts. COVID wastewater data for Boston North and Boston South regions is available at https://www.mwra.com/biobot/biobotdata.htm

Find data on births of Massachusetts residents. Information is obtained from birth certificates received by the Registry of Vital Records and Statistics.

Home to MIT and Harvard, Massachusetts has its pick of innovators and the state's manufacturing sector reflects that, with strongholds in medical and surgical instruments, electronics and pharmaceuticals. This article will explore the latest data on Massachusetts manufacturers and share some essential insights provided by the state's top industrial companies.

In 2023, about ******* people in Massachusetts were of Hispanic or Latino origin. Furthermore, there were about **** million white people and ******* Asian people living in Massachusetts in that year.

This map service is based on the Long Term Care Residences point datalayer and contains the locations of licensed nursing homes, rest homes and assisted living residences in Massachusetts.Long-term care residences provide housing and services for individuals who are managing illness and/or disability attributed to physical and/or mental health conditions. While terminology may vary, generally long-term care facilities are distinguished by the type of medical and custodial (non-medical services such as dressing, bathing, etc.) care they provide, the relative independence of their residents, and the types of on-site amenities. Furthermore, some facilities cater to specific patient populations (e.g. Alzheimer's patients).For the purposes of this datalayer, a nursing home is defined as a residential facility that provides 24-hour nursing care, rehabilitative services and activities of daily living to the chronically ill who require a relatively high level of institutional support. A rest home provides 24-hour supervision and supportive services for individuals who do not routinely need nursing or medical care. Similarly, assisted living residences provide residents with housing and various daily living support services, but usually do not offer medical care. Assisted living residences often emphasize greater autonomy and privacy for residents through individual apartment-style rentals. Other residential facilities that provide long term care such as group homes (i.e. boarding homes or congregate housing) and hospice facilities are not explicitly specified in this datalayer. Many locations in this datalayer, however, may offer additional services ranging from independent retirement living to intensive skilled nursing and palliative care. Non-residential care locations such as adult day health, rehabilitation, and senior centers are omitted.See the datalayer's full metadata for more information.A Map Service also is available.

In 2022, San Francisco had the highest median household income of cities ranking within the top 25 in terms of population, with a median household income in of 136,692 U.S. dollars. In that year, San Jose in California was ranked second, and Seattle, Washington third.

Following a fall after the great recession, median household income in the United States has been increasing in recent years. As of 2022, median household income by state was highest in Maryland, Washington, D.C., Utah, and Massachusetts. It was lowest in Mississippi, West Virginia, and Arkansas. Families with an annual income of 25,000 and 49,999 U.S. dollars made up the largest income bracket in America, with about 25.26 million households.

Data on median household income can be compared to statistics on personal income in the U.S. released by the Bureau of Economic Analysis. Personal income rose to around 21.8 trillion U.S. dollars in 2022, the highest value recorded. Personal income is a measure of the total income received by persons from all sources, while median household income is “the amount with divides the income distribution into two equal groups,” according to the U.S. Census Bureau. Half of the population in question lives above median income and half lives below. Though total personal income has increased in recent years, this wealth is not distributed throughout the population. In practical terms, income of most households has decreased. One additional statistic illustrates this disparity: for the lowest quintile of workers, mean household income has remained more or less steady for the past decade at about 13 to 16 thousand constant U.S. dollars annually. Meanwhile, income for the top five percent of workers has actually risen from about 285,000 U.S. dollars in 1990 to about 499,900 U.S. dollars in 2020.

Morocco MA: Population in Largest City data was reported at 3,653,152.000 Person in 2017. This records an increase from the previous number of 3,622,989.000 Person for 2016. Morocco MA: Population in Largest City data is updated yearly, averaging 2,596,373.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 3,653,152.000 Person in 2017 and a record low of 966,796.000 Person in 1960. Morocco MA: Population in Largest City 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. Population in largest city is the urban population living in the country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; ;

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2010 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

Web map featuring food resources and census data in Salem, Massachusetts. To be used for planning and reference use only. Point data sets detail the results of an extensive food resource survey conducted by MassinMotion. Mass in Motion is a statewide movement to prevent obesity in Massachusetts by increasing opportunities for healthy eating and active living in the places we live, learn, work, and play.To learn more about the organization, click here .Data Included:Food Pantry sitesMassachusetts Office of Transitional Assistance - SalemSummer EAT Program SitesMobile Food Pantry SitesStoresEdible Community GardensNational food spending datasetCensus Data - low to moderate income areas

The overall goal for this project was to reduce the incidence of COVID-19, hospitalization, and mortality among adults with serious mental illness (SMI) and intellectual disabilities/developmental disabilities (IDD) in congregate living settings (i.e., group homes) in Massachusetts, as well as to reduce COVID-19 incidence among staff who work in these settings. The research team was guided by two comparative effectiveness questions: With the goal of prioritizing and making actionable best practices available as resources, what is the comparative effectiveness of various types and intensities of preventative interventions (e.g., screening, isolation, contact tracing, hand hygiene, physical distancing, use of face masks) in reducing rates of COVID-19, related hospitalizations, and related mortality in this population? With the goal of effectively implementing best practices, what is the most effective implementation strategy to reduce rates of COVID-19 in this population: using tailored best practices (TBP) with SMI/IDD residents and staff of group homes in mind, or general best practices (GBP) from state and federal standard guidelines for all congregate care settings? The specific aims of this study were as follows: Aim 1a. Synthesize existing baseline data collected by 6 state behavioral health agencies on COVID-19 rates, hospitalization, mortality, and use of infection prevention practices. Aim 1b. Collect stakeholder input via surveys and virtual focus groups on staff and resident experiences and on barriers/facilitators to implementing recommended preventative practices. Aims 2a and 2b. Determine the comparative effectiveness of various COVID-19 preventative practices by (Aim 2a) using a validated simulation model to estimate COVID-19 spread in group homes and (Aim 2b) obtaining stakeholder input on prioritizing and defining tailored best practices for implementation. Aim 3. Compare the effectiveness of TBPs with GBPs by using a hybrid effectiveness-implementation cluster randomized controlled trial. Data collected to answer Aims 1 and 2 served as the foundation for designing the Aim 3 trial. Data for the trial were collected in 3-month intervals beginning January 2021 (baseline) until October 2022 (15-month follow-up). Residents and staff were sampled from approximately 400 group homes. Primary implementation outcome measures were COVID-19 vaccination rates and fidelity scores. The primary effectiveness outcome measure was COVID-19 infection. Notes: This collection contains only data from Aim 1a and Aim 3. Throughout the data and documentation, "intellectual and/or developmental disabilities" is abbreviated as both IDD and ID/DD.