Provided by 14 state and local health departments through an online assessment, March—April 2016.

The 2021 Combined Sewer Overflow (CSO) spatial data layer shows the point locations of National Pollutant Discharge Elimination System (NPDES) permitted combined sewer overflow discharges. These outfalls occur in older cities in Massachusetts that still have areas of combined sewer and stormwater systems which overflow during heavy storm events. MassDEP has responsibility for ensuring that these systems, along with other sanitary sewer systems, are in compliance with the Clean Waters Act https://www.epa.gov/laws-regulations/summary-clean-water-act and the regulations adopted under 314 CMR 1.00 through 9.00 – please see https://www.mass.gov/regulations/314-CMR-9-401-water-quality-certification for more detail. Please refer to the Sanitary Sewer Systems and Combined Sewer Overflows guide for additional information.A list of active CSO locations was created and checked against lists contained in the NPDES permit for each CSO system along with lists contained in reports available from the systems online or on town websites. In some cases, when needed, CSO systems were contacted to verify active status of outfalls.Outfall locations are estimates based on the best available maps or coordinates and may contain errors and should only be used as a guide. For additional locational information please contact the CSO systems involved.Source Materials and Data AutomationMassDEP staff used information including maps and general descriptions of CSO locations found online and in NPDES permits to assist in mapping. This information was supplemented by maps and coordinates received from municipal staff responsible for CSO management in each of the systems involved, staff knowledge of outfall locations, maps found in system reports, and maps found on town web sites. MassDEP staff viewed the material and then mapped or verified the location of the CSO using the 2019 orthophoto as a basemap. Some systems were able to provide GIS data directly to MassDEP staff – in these cases, CSO locations were placed directly onto the provided points s or the systems provided point locations were used to verify MassDEP locations. When available, coordinates were entered directly and then checked against the orthophoto and other available maps for general accuracy. Last updated July, 2021.

FIELD

TYPE/WDTH

DEFINITION

NPDES_ID

C/50

Permit Number for the National Pollutant Discharge Elimination System (NPDES)

SYSTEMNAME

C/50

CSO System Name

OUTFALL_ID

C/15

Outfall number according to the Town or System

DEP_OUTFL_ID

C/15

Unique ID for the CSO which combines the Town or System abbreviation with the CSO Outfall No

RECVING_WATER

C/100

The body of water the CSO drains into

ADDRESS

C/120

General locational description of the CSO

TOWN

C/40

Standard (1-351) municipality name where the CSO is actually located

DEP_REGION

C/4

MassDEP Regional Office Code

L_TYPE

C/10

Type of location, i.e., estimated location, center of site, etc.

POINT_X

D

X Coordinate Decimal Degrees

POINT_Y

D

Y Coordinate Decimal Degrees

MAJOR_BASIN

C/100

Major Basin the outfall is located within

PERMIT_URL

C/200

URL to permit online

Data Universe

A list of active CSO locations was created and checked against lists contained in the NPDES permit for each CSO system along with lists contained in reports available from the systems online or on town websites. In some cases, when needed, CSO systems were contacted to verify active status of outfalls.CONTACTS AND TERMS OF USE

The CSOs contained in the CSO spatial data layer are based on a list provided by the MassDEP Bureau of Water Resources Wastewater program – for general questions please contact Lealdon Langley at (617) 574-6882. Locations are estimates and should only be used as a guide. For additional locational information please contact the CSO systems involved. For GIS related questions please contact the MassDEP GIS Program at (617) 292-5500.

This table will no longer be updated after 5/30/2024 given the end of the 2023-2024 viral respiratory vaccine season. This table shows the cumulative number and percentage of CT residents who have received an updated COVID-19 vaccine during the 2023-2024 viral respiratory season by age group (current age). CDC recommends that people get at least one dose of this vaccine to protect against serious illness, whether or not they have had a COVID-19 vaccination before. Children and people with moderate to severe immunosuppression might be recommended more than one dose. For more information on COVID-19 vaccination recommendations, click here. • Data are reported weekly on Thursday and include doses administered to Saturday of the previous week (Sunday – Saturday). All data in this report are preliminary. Data from the previous week may be changed because of delays in reporting, deduplication, or correction of errors. • These analyses are based on data reported to CT WiZ which is the immunization information system for CT. CT providers are required by law to report all doses of vaccine administered. CT WiZ also receives records on CT residents vaccinated in other jurisdictions and by federal entities which share data with CT Wiz electronically. Electronic data exchange is being added jurisdiction-by-jurisdiction. Currently, this includes Rhode Island and New York City but not Massachusetts and New York State. Therefore, doses administered to CT residents in neighboring towns in Massachusetts and New York State will not be included. A full list of the jurisdiction with which CT has established electronic data exchange can be seen at the bottom of this page (https://portal.ct.gov/immunization/Knowledge-Base/Articles/Vaccine-Providers/CT-WiZ-for-Vaccine-Providers-and-Training/Query-and-Response-functionality-in-CT-WiZ?language=en_US) • Population size estimates used to calculate cumulative percentages are based on 2020 DPH provisional census estimates*. • People are included if they have an active jurisdictional status in CT WiZ at the time weekly data are pulled. This excludes people who live out of state, are deceased and a small percentage who have opted out of CT WiZ. DPH Provisional State and County Characteristics Estimates April 1, 2020. Hayes L, Abdellatif E, Jiang Y, Backus K (2022) Connecticut DPH Provisional April 1, 2020, State Population Estimates by 18 age groups, sex, and 6 combined race and ethnicity groups. Connecticut Department of Public Health, Health Statistics & Surveillance, SAR, Hartford, CT.

The following tables from the US Census Bureau were used to compile the updated 2020 EJ datalayer, released in November, 2022:Minority population:2020 Census Redistricting Data: Table P2: HISPANIC OR LATINO, AND NOT HISPANIC OR LATINO BY RACEpct_minority_P2 = ((Total pop P2_001N - Not Hispanic or Latino:Population of one race:White alone P2_005N) / Total P2_001N) * 100Median Household Income (block groups, municipalities and state)American Community Survey 2020 5-year estimates: Table B19013: MEDIAN HOUSEHOLD INCOME IN THE PAST 12 MONTHS (IN 2020 INFLATION-ADJUSTED DOLLARS)Limited English Households:American Community Survey 2020 5-year estimates: Table C16002: HOUSEHOLD LANGUAGE BY HOUSEHOLD LIMITED ENGLISH SPEAKING STATUSlimEngHH = Total:Spanish:limited English speaking household C16002_004E + Total:Other Indo-European languages:limited English speaking household C16002_007E + Total:Asian and Pacific Island languages:Limited English speaking household C16002_010E + Total:Other languages:Limited English speaking household C16002_013E) limEngHHpct = (limEngHH / TotalHH C16002_001E) * 100Additional data adjustments:1. Block groups with a total population of fewer than 50 were removed.2. 228 2020 block groups have no MHHI in 2020 ACS table.130 of these did have a value in the 2019 ACS table so the 2019 BG MHHI and PCT BG MHHI (so the 2019 value for MA MHHI is used) were transferred to 130 BGs in the 2020 update. Those BGs are coded with ‘1’ in BG_MHHI_is_2019 This leaves 96 block groups with an unknown and not substituted 2020 BG MHHI 5 of these are in towns with a muni MHHI > 150% of the MA MHHI. These are not designated as EJ. 43 of the remaining are designated as EJ with the M and/or E criteria 16 of the remaining have a population in EJ group quarters > 50% 16 of the remaining have a total population < 50 This leaves 16 block groups that may be EJ for income but no data are available to determine this. These are coded as EJ = No and median_household_income = ‘U’.

The data available here are:EJ neighborhoods (block groups)all 2020 census block groups with numbers for the EJ criteria the two language datasets we use: ACS 2011-2015 estimates with detailed languages spoken (tract geography)and the Department of Elementary and Secondary Education family survey of languages spoken (ZIP geography)percentiles from the EJ Screen data -- MA and USCEJST dataThe documentation available here:a slightly annotated list of the 3 criteria used to designate a census bock group as an EJ neighborhood (PDF)the MA EJ FAQ (PDF)EJ SCreen documetation (PDF)CEJST documentation- (PDF)the data dictionary for the CEJST shapefile (CSV)The applications available here:the standard MA EJ appan app showing block group and municipal values for EJ designationthe Languages Spoken map, to be used only as a first step in determining needs for translation and interpretation servicesthe EJScreen block groups with the number of indicators > 90 percentile and the CJEST "disadvantaged" tracts

This EnviroAtlas dataset is the base layer for the New Bedford, MA EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

The following tables from the US Census Bureau were used to compile the updated 2020 EJ datalayer, released in November, 2022:Minority population:2020 Census Redistricting Data: Table P2: HISPANIC OR LATINO, AND NOT HISPANIC OR LATINO BY RACEpct_minority_P2 = ((Total pop P2_001N - Not Hispanic or Latino:Population of one race:White alone P2_005N) / Total P2_001N) * 100Median Household Income (block groups, municipalities and state)American Community Survey 2020 5-year estimates: Table B19013: MEDIAN HOUSEHOLD INCOME IN THE PAST 12 MONTHS (IN 2020 INFLATION-ADJUSTED DOLLARS)Limited English Households:American Community Survey 2020 5-year estimates: Table C16002:HOUSEHOLD LANGUAGE BY HOUSEHOLD LIMITED ENGLISH SPEAKING STATUSlimEngHH = Total:Spanish:limited English speaking household C16002_004E + Total:Other Indo-European languages:limited English speaking household C16002_007E + Total:Asian and Pacific Island languages:Limited English speaking household C16002_010E + Total:Other languages:Limited English speaking household C16002_013E) limEngHHpct = (limEngHH / TotalHH C16002_001E) * 100Additional data adjustment:1. Block groups with a total population of fewer than 50 were removed.2. 228 2020 block groups have no MHHI in 2020 ACS table.130 of these did have a value in the 2019 ACS table so the 2019 BG MHHI and PCT BG MHHI (so the 2019 value for MA MHHI is used) were transferred to 130 BGs in the 2020 update. Those BGs are coded with ‘1’ in BG_MHHI_is_2019 This leaves 96 block groups with an unknown and not substituted 2020 BG MHHI 5 of these are in towns with a muni MHHI > 150% of the MA MHHI. These are not designated as EJ. 43 of the remaining are designated as EJ with the M and/or E criteria 16 of the remaining have a population in EJ group quarters > 50% 16 of the remaining have a total population < 50 This leaves 16 block groups that may be EJ for income but no data are available to determine this. These are coded as EJ = No and median_household_income = ‘U’.

BackgroundThe monkeypox outbreak in non-endemic countries in recent months has led the World Health Organization (WHO) to declare a public health emergency of international concern (PHEIC). It is thought that festivals, parties, and other gatherings may have contributed to the outbreak.MethodsWe considered a hypothetical metropolitan city and modeled the transmission of the monkeypox virus in humans in a high-risk group (HRG) and a low-risk group (LRG) using a Susceptible-Exposed-Infectious-Recovered (SEIR) model and incorporated gathering events. Model simulations assessed how the vaccination strategies combined with other public health measures can contribute to mitigating or halting outbreaks from mass gathering events.ResultsThe risk of a monkeypox outbreak was high when mass gathering events occurred in the absence of public health control measures. However, the outbreaks were controlled by isolating cases and vaccinating their close contacts. Furthermore, contact tracing, vaccinating, and isolating close contacts, if they can be implemented, were more effective for the containment of monkeypox transmission during summer gatherings than a broad vaccination campaign among HRG, when accounting for the low vaccination coverage in the overall population, and the time needed for the development of the immune responses. Reducing the number of attendees and effective contacts during the gathering could also prevent a burgeoning outbreak, as could restricting attendance through vaccination requirements.ConclusionMonkeypox outbreaks following mass gatherings can be made less likely with some restrictions on either the number and density of attendees in the gathering or vaccination requirements. The ring vaccination strategy inoculating close contacts of confirmed cases may not be enough to prevent potential outbreaks; however, mass gatherings can be rendered less risky if that strategy is combined with public health measures, including identifying and isolating cases and contact tracing. Compliance with the community and promotion of awareness are also indispensable to containing the outbreak.

About this dataset

Context

The dataset tabulates the Massachusetts population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Massachusetts. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 4.4 million (62.96% of the total population). 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 cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Massachusetts population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Massachusetts is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Massachusetts 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 Massachusetts Population by Age. You can refer the same here

Environmental Justice neighborhoods are the focus of the state's Executive Office of Energy and Environmental Affairs' (EEA) Environmental Justice (EJ) Policy, which establishes EJ as an integral consideration in all EEA programs, to the extent applicable and allowable by law. For more information please visit EEA's Environmental Justice Web page, which includes a detailed fact sheet as well as text of the full policy.More details...Polygons in the 2020 Environmental Justice (EJ) Populations layer are 2020 Census block groups across the state that meet one or more of the criteria listed below. (i) the annual median household income is not more than 65 percent of the statewide annual median household income; (ii) minorities comprise 40 percent or more of the population; (iii) 25 percent or more of households lack English language proficiency; or (iv) minorities comprise 25 percent or more of the population and the annual median household income of the municipality in which the neighborhood is located does not exceed 150 percent of the statewide annual median household income.Map service also available.

About this dataset

Context

The dataset tabulates the Wayland town population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Wayland town. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 7,647 (55.31% of the total population). 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 cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Wayland town population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Wayland town is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Wayland town 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 Wayland town Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Rutland town population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Rutland town. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 5,614 (61.01% of the total population). 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 cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Rutland town population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Rutland town is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Rutland town 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 Rutland town Population by Age. You can refer the same here

In the Slovak Republic, a mass testing of the entire population was performed. Estimates show that this testing cost more than 400 million EUR and thousands of euros were paid for one positively identified case. Thus, it is possible to state a high cost for such a project, which has been criticized by many parties. On the other hand, from a public health point of view, mass testing has helped fight the pandemic. Both the health and economic perspectives are important in assessing the success of a pandemic strategy, but the social perspective is equally important. In fact, the situation is perceived from the position of public leaders who make decisions, but also from the position of the society that bears individual political decisions. It is not appropriate to forget about the society that is most affected by restrictions, testing, health status, but also the burden on the state budget. The objective of the presented research was to examine the perception of testing for coronavirus disease 2019 (COVID-19) in the Slovak population. Non-parametric difference tests and correspondence analysis were used for statistical processing. The research sample consisted of 806 respondents and data collection took place in February 2021. The main findings include significant differences in perceptions between the first and the last participation in testing in terms of gender, age, testing experience, and time aspect. The last participation in testing showed lower rates of positive aspects related to the internal motivation to test compared to the first participation. In contrast, external stimulation by government regulations related to restrictions in the absence of a negative result was higher in the last participation in testing. There were also differences between the first and the last test in the level of doubts about the accuracy of the test result, while a higher level was found at the last testing participation. It can be concluded that the frequency of testing and its requirements need to be approached very carefully over time, as it is likely that the positive perceptions may deteriorate. The recommendations include clear and timely government communication, trust building and health education.

About this dataset

Context

The dataset tabulates the Monson town population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Monson town. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 4,924 (60.60% of the total population). 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 cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Monson town population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Monson town is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Monson town 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 Monson town Population by Age. You can refer the same here

This database contains anion, nutrient, and secchi data collected by MA DEP for assessment of water quality in MA lakes. Data spans 2005-2010. The ultimate goal of the MassDEP is to implement a comprehensive monitoring program (status/assessment, trends and flows, and targeted) that serves all water quality management needs, and addresses streams, rivers, lakes, reservoirs, estuaries, coastal areas, wetlands, and groundwater. The five-year rotating watershed assessment program is currently the primary means of meeting the CWA objective related to assessing the status of designated uses. Requirements for the monitoring program designed to support watershed assessments, reflecting CWA mandates, are that it be statewide in scale, comprehensive (all water bodies in the Commonwealth are assessed), and repeated at regular intervals. Water quality surveys generally consist of five sampling events interspersed throughout the water recreation season for conventional water quality analyses such as pH, dissolved oxygen, suspended and total dissolved solids, nutrients, and fecal coliform bacteria.

The Department of Conservation and Recreation Division of Water Supply Protection Office of Watsershed Management (DCR/DWSP) was established by Chapter 372 of the Acts of 1984. The Division was created to manage and maintain a system of watersheds and reservoirs and provide pure water to the Massachusetts Water Resources Authority (MWRA), which in turn supplies drinking water to approximately 2.5 million people in fifty-one communities and thousands of industrial users. The Surface Water Treatment Rule requires filtration of all surface water supplies unless several criteria are met, including development and implementation of a detailed watershed protection plan. The Division and the MWRA have a joint waiver from the filtration requirement and continue to aggressively manage the watershed in order to maintain this waiver. Water quality sampling and field inspections help identify tributaries with water quality problems, aid in the implementation of the most recent watershed protection plan, and ensure compliance with state and federal water quality criteria for public drinking water supply sources. Division staff also sample to better understand the responses of the reservoir and its tributaries to a variety of physical, chemical, and biological inputs, and to assess the ecological health of the reservoir and the watershed. Wachusett Environmental Quality staff collected routine water quality samples from 23 stations on 19 tributaries and from three stations on the Wachusett Reservoir in 2012. Additional stations were sampled to support special studies or potential enforcement actions, and storm events were sampled on twelve separate occasions.

About this dataset

Context

The dataset tabulates the Hingham town population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Hingham town. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 12,451 (51.48% of the total population). 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 cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Hingham town population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Hingham town is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Hingham town 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 Hingham town Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Clinton town population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Clinton town. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 10,468 (67.84% of the total population). 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 cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Clinton town population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Clinton town is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Clinton town 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 Clinton town Population by Age. You can refer the same here

View Data Breach Notification Reports, which include how many breaches are reported each year and the number of affected residents.

The three criteria defined in Chapter 8 of the Acts of 2020 were evaluated with American Community Survey 2015-2019 5-year-estimatetables:Percent block group Median Household Income as percent of MA Median Household Income: Table B19013(B19013_001E / 85843) * 100MA median HHI 2019: $85,843 Table: DP03 (5-yr estimate)==> Any Block Group with a median HHI as percent of the MA median HHI in 2019 (B19013) less than or equal to 65.49 [56,220] was designated an EJ population.English Language Isolation: Table C16002(C16002_004E:Estimate!!Total:!!Spanish:!!Limited English speaking household +C16002_007E: Estimate!!Total:!!Other Indo-European languages:!!Limited English speaking household +C16002_010E: Estimate!!Total:!!Asian and Pacific Island languages:!!Limited English speaking household +C16002_013E: Estimate!!Total:!!Other languages:!!Limited English speaking household) /C16002_001E: Estimate!!Total: *100==> Any Block Group with 24.5% or more limited English-speaking households was designated an EJ population.Percent Minority Population: Table B03002: ((B03002_001E:Estimate!!Total: - B03002_003E:Estimate!!Total:!!Not Hispanic or Latino:!!White alone)/ B03002_001E:Estimate!!Total:) * 100==> All block groups with 39.5% or more minority population were designated an EJ population. ==> All block groups with a minority population between 24.5% and 39.5% AND with a MHHI less than 150.5% of the state MHHI were designated an EJ population. Additional data adjustments:Block groups with a total population of less than 25 were removed.