The Town Halls layer stores the location of primary municipal executive offices in Massachusetts, including town and city halls. The Massachusetts Emergency Management Agency (MEMA) GIS Program in cooperation with the Regional Planning Agencies and participating communities developed the original version of this data layer. MassGIS revised the data using its master address database in spring 2017. Points were adjusted to fall atop building point locations.More details...Map service also available.

Proposed City Council Redistricting Plan Councilor Arroyo Anderson (Docket #1186)

City Council Districts were approved by the City Council, signed by the Mayor and took effect January 1, 2014. Districts were updated September 2016 based on the updates made to wards and precincts by the City of Boston Election department.

Proposed City Council Redistricting Plan Councilor Flaherty (Docket #1351)

City Council redistricting working session 09_20_22. Doit GIS and Councilor Breadon office, 09-20-2022. Docket #1098

City Council Districts for Worcester, MA that reflect Census 2020 data, finalized by the Massachusetts Secretary of the Commonwealth in collaboration with the Worcester City Clerk. These boundaries have been approved by the Local Election District Review Commission (LEDRC) and apply for electoral purposes starting in 2022. Note that the City Councilors elected in the municipal election on November 2, 2021 continued to represent Worcester residents and voters in alignment with the previous 2010 Census-derived boundaries until a new council was elected and sworn in January 2024.Informing Worcester is the City of Worcester's open data portal where interested parties can obtain public information at no cost.

About this dataset

Context

This list ranks the 333 cities in the Massachusetts by Greek population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

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

Variables / Data Columns

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

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

About this dataset

Context

This list ranks the 333 cities in the Massachusetts by Polish population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

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

Variables / Data Columns

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

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Boston MA city boundary including water features.

About this dataset

Context

This list ranks the 333 cities in the Massachusetts by Costa Rican population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

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

Variables / Data Columns

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

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

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

Context

Building Segmentation from Aerial Imagery is a challenging task. Obstruction from nearby trees, shadows of adjacent buildings, varying texture and color of rooftops, varying shapes and dimensions of buildings are among other challenges that hinder present day models in segmenting sharp building boundaries. High-quality aerial imagery datasets facilitate comparisons of existing methods and lead to increased interest in aerial imagery applications in the machine learning and computer vision communities.

Content

The Massachusetts Buildings Dataset consists of 151 aerial images of the Boston area, with each of the images being 1500 × 1500 pixels for an area of 2.25 square kilometers. Hence, the entire dataset covers roughly 340 square kilometers. The data is split into a training set of 137 images, a test set of 10 images and a validation set of 4 images. The target maps were obtained by rasterizing building footprints obtained from the OpenStreetMap project. The data was restricted to regions with an average omission noise level of roughly 5% or less. The large amount of high quality building footprint data was possible to collect because the City of Boston contributed building footprints for the entire city to the OpenStreetMap project. The dataset covers mostly urban and suburban areas and buildings of all sizes, including individual houses and garages, are included in the labels. The datasets make use of imagery released by the state of Massachusetts. All imagery is rescaled to a resolution of 1 pixel per square meter. The target maps for the dataset were generated using data from the OpenStreetMap project. Target maps for the test and validation portions of the dataset were hand-corrected to make the evaluations more accurate.

Refer this thesis for more information.

Acknowledgements

This dataset is derived from Volodymyr Mnih's original Massachusetts Buildings Dataset. Massachusetts Roads Dataset & Massachusetts Buildings dataset were introduced in Chapter 6 of his PhD thesis. If you use this dataset for research purposes you should use the following citation in any resulting publications:

@phdthesis{MnihThesis, author = {Volodymyr Mnih}, title = {Machine Learning for Aerial Image Labeling}, school = {University of Toronto}, year = {2013} }

Inspiration

Rapid advances in Image Understanding using Computer Vision techniques have brought us many state-of-the-art deep learning models across various benchmark datasets. Can we better address the challenges faced by the current models in segmenting buildings from aerial images using the latest methods? Do state-of-the-art methods from other benchmarks work equally well on this data? Does engineering features specific to buildings datasets allow us to build better models?

Go to Massachusetts Roads Dataset.

About this dataset

Context

This list ranks the 333 cities in the Massachusetts by English population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

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

Variables / Data Columns

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

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

About this dataset

Context

This list ranks the 333 cities in the Massachusetts by Japanese population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

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

Variables / Data Columns

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

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Information compiled by the Department of Environmental Protection (MassDEP).

Each year, the City of Boston publishes payroll data for employees. This dataset contains employee names, job details, and earnings information including base salary, overtime, and total compensation for employees of the City.

See the "Payroll Categories" document below for an explanation of what types of earnings are included in each category.

Graph and download economic data for All Employees: Government: Federal Government in Boston-Cambridge-Nashua, MA-NH (NECTA) (SMU25716509091000001) from Jan 1990 to Dec 2024 about Boston, NH, MA, federal, government, employment, and USA.

The Worcester City Council, the policy-setting arm of the City, derives its powers from the City Charter. It authorizes public improvements and expenditures, adopts regulations and ordinances, levies taxes, controls the finances and property taxes of the City, and performs many related legislative tasks.Informing Worcester is the City of Worcester's open data portal where interested parties can obtain public information at no cost.

In accordance with MGL Chapters 40D and 23B and 760 CMR 13, the Commonwealth of Massachusetts can approve Commercial Area Revitalization Plans, this approval is a prerequisite for the use of various state financial incentives for commercial development. CARD boundaries are designated by the Executive Office of Economic Development (EOED) with approval from City Council. Designated CARD areas in Worcester include North Worcester, Lincoln Street Corridor, Highland Street Corridor, Lower Belmont Street Corridor, Downtown, East Side, Village of Piedmont, Canal District, South Worcester, Main South, and Webster Square. Sites within designated CARDs are exempt from certain requirements of the City of Worcester Wetlands Protection Ordinance. The Executive Office of Economic Development (EOED) is responsible for maintaining this data layer.More information:Visit the Executive Office of Economic Development webpage to learn more.Informing Worcester is the City of Worcester's open data portal where interested parties can obtain public information at no cost.