Demographics, population, housing, income, education, schools, and geography for ZIP Code 04275 (Roxbury, ME). Interactive charts load automatically as you scroll for improved performance.

Demographics, population, housing, income, education, schools, and geography for ZIP Code 02120 (Roxbury Crossing, MA). Interactive charts load automatically as you scroll for improved performance.

Demographics, population, housing, income, education, schools, and geography for ZIP Code 06783 (Roxbury, CT). Interactive charts load automatically as you scroll for improved performance.

Demographics, population, housing, income, education, schools, and geography for ZIP Code 12474 (Roxbury, NY). Interactive charts load automatically as you scroll for improved performance.

March 2024

Demographics, population, housing, income, education, schools, and geography for ZIP Code 67476 (Roxbury, KS). Interactive charts load automatically as you scroll for improved performance.

The table below showcases the total number of homes sold for each zip code in Roxbury Crossing, Massachusetts. It's important to understand that the number of homes sold can vary greatly and can change yearly.

The table below showcases the total number of homes sold for each zip code in Roxbury, New Hampshire. It's important to understand that the number of homes sold can vary greatly and can change yearly.

Boston Neighborhood Boundaries represent a combination of zoning neighborhood boundaries, zip code boundaries and 2010 census tract boundaries. These boundaries are used in the broad sense for visualization purposes, research analysis and planning studies. However these boundaries are not official neighborhood boundaries for the City of Boston. The BPDA is not responsible for any districts or boundaries within the City of Boston except for the districts we use for planning purposes.

The table below showcases the 10th, 25th, 50th, 75th, and 90th percentiles of property tax rates for each zip code in Roxbury Crossing, Massachusetts. It's important to understand that tax rates can vary greatly and can change yearly.

The table below showcases the 10th, 25th, 50th, 75th, and 90th percentiles of mortgage rates for each zip code in Roxbury Crossing, Massachusetts. It's important to understand that mortgage rates can vary greatly and can change yearly.

The median house prices in the most expensive zip codes in New England, United States ranged from *** to *** million U.S. dollars. Boston (zip code 02199) was the most expensive in New England with a median house price of *** million U.S. dollars. Nevertheless, that was more affordable than in the ten zip codes with the highest median house price in the entire United States.

The table below showcases the 10th, 25th, 50th, 75th, and 90th percentiles of property tax rates for each zip code in Roxbury, New Hampshire. It's important to understand that tax rates can vary greatly and can change yearly.

This data set contains a series of administrative geographies utilized by the City of Boston, including: traditional neighborhoods defined by the Boston Planning and Development Agency (BPDA Neighborhood Statistical Areas, BPDA Planning Districts); election board regions (City Council Districts, Election Precincts, Election Wards); and districts for City operations (Fire Districts, ISD Neighborhoods, Police Districts, Public Works Districts, and ZIP Codes). For each we include a shape file with unique identifiers. These geographic files were obtained from the City of Boston Department of Innovation and Technology’s Analyze Boston data hub site: https://data.boston.gov/. Information pertaining to these files can be found in the most recent documentation for the "Geographical Infrastructure for the City of Boston." Note: These geographies are the most recent updated versions at the time of the release of the most recent Geographical Infrastructure for the City of Boston.

The table below showcases the 10th, 25th, 50th, 75th, and 90th percentiles of mortgage rates for each zip code in Roxbury, New Hampshire. It's important to understand that mortgage rates can vary greatly and can change yearly.

Social vulnerability is defined as the disproportionate susceptibility of some social groups to the impacts of hazards, including death, injury, loss, or disruption of livelihood. In this dataset from Climate Ready Boston, groups identified as being more vulnerable are older adults, children, people of color, people with limited English proficiency, people with low or no incomes, people with disabilities, and people with medical illnesses. Source:The analysis and definitions used in Climate Ready Boston (2016) are based on "A framework to understand the relationship between social factors that reduce resilience in cities: Application to the City of Boston." Published 2015 in the International Journal of Disaster Risk Reduction by Atyia Martin, Northeastern University.Population Definitions:Older Adults:Older adults (those over age 65) have physical vulnerabilities in a climate event; they suffer from higher rates of medical illness than the rest of the population and can have some functional limitations in an evacuation scenario, as well as when preparing for and recovering from a disaster. Furthermore, older adults are physically more vulnerable to the impacts of extreme heat. Beyond the physical risk, older adults are more likely to be socially isolated. Without an appropriate support network, an initially small risk could be exacerbated if an older adult is not able to get help.Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract for population over 65 years of age.Attribute label: OlderAdultChildren: Families with children require additional resources in a climate event. When school is cancelled, parents need alternative childcare options, which can mean missing work. Children are especially vulnerable to extreme heat and stress following a natural disaster.Data source: 2010 American Community Survey 5-year Estimates (ACS) data by census tract for population under 5 years of age.Attribute label: TotChildPeople of Color: People of color make up a majority (53 percent) of Boston’s population. People of color are more likely to fall into multiple vulnerable groups aswell. People of color statistically have lower levels of income and higher levels of poverty than the population at large. People of color, many of whom also have limited English proficiency, may not have ready access in their primary language to information about the dangers of extreme heat or about cooling center resources. This risk to extreme heat can be compounded by the fact that people of color often live in more densely populated urban areas that are at higher risk for heat exposure due to the urban heat island effect.Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract: Black, Native American, Asian, Island, Other, Multi, Non-white Hispanics.Attribute label: POC2Limited English Proficiency: Without adequate English skills, residents can miss crucial information on how to preparefor hazards. Cultural practices for information sharing, for example, may focus on word-of-mouth communication. In a flood event, residents can also face challenges communicating with emergency response personnel. If residents are more sociallyisolated, they may be less likely to hear about upcoming events. Finally, immigrants, especially ones who are undocumented, may be reluctant to use government services out of fear of deportation or general distrust of the government or emergency personnel.Data Source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract, defined as speaks English only or speaks English “very well”.Attribute label: LEPLow to no Income: A lack of financial resources impacts a household’s ability to prepare for a disaster event and to support friends and neighborhoods. For example, residents without televisions, computers, or data-driven mobile phones may face challenges getting news about hazards or recovery resources. Renters may have trouble finding and paying deposits for replacement housing if their residence is impacted by flooding. Homeowners may be less able to afford insurance that will cover flood damage. Having low or no income can create difficulty evacuating in a disaster event because of a higher reliance on public transportation. If unable to evacuate, residents may be more at risk without supplies to stay in their homes for an extended period of time. Low- and no-income residents can also be more vulnerable to hot weather if running air conditioning or fans puts utility costs out of reach.Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract for low-to- no income populations. The data represents a calculated field that combines people who were 100% below the poverty level and those who were 100–149% of the poverty level.Attribute label: Low_to_NoPeople with Disabilities: People with disabilities are among the most vulnerable in an emergency; they sustain disproportionate rates of illness, injury, and death in disaster events.46 People with disabilities can find it difficult to adequately prepare for a disaster event, including moving to a safer place. They are more likely to be left behind or abandoned during evacuations. Rescue and relief resources—like emergency transportation or shelters, for example— may not be universally accessible. Research has revealed a historic pattern of discrimination against people with disabilities in times of resource scarcity, like after a major storm and flood.Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract for total civilian non-institutionalized population, including: hearing difficulty, vision difficulty, cognitive difficulty, ambulatory difficulty, self-care difficulty, and independent living difficulty. Attribute label: TotDisMedical Illness: Symptoms of existing medical illnesses are often exacerbated by hot temperatures. For example, heat can trigger asthma attacks or increase already high blood pressure due to the stress of high temperatures put on the body. Climate events can interrupt access to normal sources of healthcare and even life-sustaining medication. Special planning is required for people experiencing medical illness. For example, people dependent on dialysis will have different evacuation and care needs than other Boston residents in a climate event.Data source: Medical illness is a proxy measure which is based on EASI data accessed through Simply Map. Health data at the local level in Massachusetts is not available beyond zip codes. EASI modeled the health statistics for the U.S. population based upon age, sex, and race probabilities using U.S. Census Bureau data. The probabilities are modeled against the census and current year and five year forecasts. Medical illness is the sum of asthma in children, asthma in adults, heart disease, emphysema, bronchitis, cancer, diabetes, kidney disease, and liver disease. A limitation is that these numbers may be over-counted as the result of people potentially having more than one medical illness. Therefore, the analysis may have greater numbers of people with medical illness within census tracts than actually present. Overall, the analysis was based on the relationship between social factors.Attribute label: MedIllnesOther attribute definitions:GEOID10: Geographic identifier: State Code (25), Country Code (025), 2010 Census TractAREA_SQFT: Tract area (in square feet)AREA_ACRES: Tract area (in acres)POP100_RE: Tract population countHU100_RE: Tract housing unit countName: Boston Neighborhood

Neighborhood boundaries are created based on zip code, zoning district boundaries and census tract boundaries. This GIS data layer was produced by the BRA Office of Digital Cartography and GIS. These boundaries should not be considered official neighborhood boundaries for the City of Boston. The locations of features and boundaries shown on this map are approximate and are intended for planning and visualization purposes only. This is not intended for survey, engineering, or legal purposes.

Airbnb Price & Room Analysis in Boston Using Tableau 📊

I recently worked on an Airbnb Boston dataset to analyze pricing trends and room details using Tableau. This project focused on understanding Airbnb pricing patterns, room availability, and geographic price distribution across different zip codes in Boston.

🔹 Key Steps & Techniques: ✔ Data Cleaning & Preparation:

Used Data Interpreter to clean the raw Excel dataset. Removed duplicates and handled missing values for accurate insights. ✔ Data Joining:

Joined listings and calendar tables using a common key (ID) to combine pricing information with room details. Ensured correct relationship to avoid duplication and incorrect aggregations. ✔ Dashboard Insights: 📈 Revenue Trends Over Time – Visualized how Airbnb prices fluctuated over a year in Boston. 🏠 Price Per Zipcode & Bedroom Count – Mapped average prices across Boston zip codes to highlight expensive and affordable areas. 📊 Distinct Listings by Room Type – Explored how many 1, 2, 3, 4, and 5-bedroom listings are available in Boston.

🔥 Key Takeaways from the Boston Airbnb Analysis: 📌 Larger Listings Are More Expensive – As expected, the average price increases with the number of bedrooms, with 1-bedroom listings averaging $144 and 5-bedroom listings reaching $445. 📌 Certain Boston Zip Codes Are More Expensive – Prices vary significantly, with some areas averaging over $200 per night, while others remain below $50. 📌 Seasonality Impacts Pricing – The revenue trend shows fluctuations over time, suggesting that Airbnb prices increase during peak seasons and drop during low-demand periods in Boston.

🛠 Tools Used: ✅ Tableau for visualization & dashboard creation. ✅ Microsoft Excel for raw data handling.

Summary

The State of Early Education and Care in Boston: Supply, Demand, Affordability, and Quality, is the first in what is planned as a recurrent landscape survey of early childhood, preschool and childcare programs in every neighborhood of Boston. It focuses on potential supply, demand and gaps in child-care seats (availability, quality and affordability). This report’s estimates set a baseline understanding to help focus and track investments and policy changes for early childhood in the city.

This publication is a culmination of efforts by a diverse data committee representing providers, parents, funding agencies, policymakers, advocates, and researchers. The report includes data from several sources, such as American Community Survey, Massachusetts Department of Early Education and Care, Massachusetts Department of Elementary & Secondary Education, Boston Public Health Commission, City of Boston, among others. For detailed information on methodology, findings and recommendations, please access the full report here

The first dataset contains all Census data used in the publication. Data is presented by neighborhoods:

• Population 0 – 5 years;
• Population 0 – 2 years;
• Population 3 – 5 years;
• Race/ethnicity for children 0 – 4 years (White, non-Hispanic; Black; Asian; Hispanic/Latinx);
• Family type (married couples, female householder, male householder);
• Poverty status;
• Family median income in the past 12 months;
• Average cost of care as a percentage of median family income (infant, preschool);
• Share of families that cannot afford care (infant, preschool)

The Boston Planning & Development Agency Research Division analyzed 2013-2017 American Community Survey data to estimate numbers by ZIP-Code. The Boston Opportunity Agenda combined that data by the approximate neighborhoods and estimated cost of care and affordability.

Additional notes:

• Record Type: Each record represents a ZIP-Code defined neighborhood. See list below for detailed information on Boston ZIP-Codes used to create each one of the 15 neighborhoods.
• Data Quality: Numbers presented here came from 2013-2017 American Community Survey data. Therefore, these are ESTIMATES and have margin of errors. The smaller the geographical unit, the greater the margin of error. The Boston Planning & Development Agency analyzed the data to estimate numbers by ZIP-Code.
• Race/Ethnicity: Non-White Hispanics may be double counted due to data limitations.
• Cost of Care: The average cost of care as a percentage of median family income was computed assuming the annual average cost of infant care was $19,877 and the average cost of preschool care was $ 13,771 (Childcare Aware of America, 2019). For each neighborhood we estimated the impact of child care (infant and preschool) on its median annual family income.
• Affordability: The Department of Health and Human Services (DHHS) sets a standard regarding the affordability of child care, where the annual cost of child care should not exceed 10 percent of household annual income. Using this 10% threshold, we estimated that to afford market rate infant care, a family’s annual income would have to be at least $198,770. The census income bracket closest to this income was a family income of $150,000– 199,999. To afford preschool care, a family's annual income should be at least $137,710. Thus, the census income bracket that encompass this income is $125,000 - 149,999. For both infant and preschool care, we underestimated the number of families that can afford care.