About this dataset

Context

The dataset presents a breakdown of households across various income brackets in Groveland, Massachusetts, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Groveland, Massachusetts reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Groveland town households based on income levels.

Key observations

• For Family Households: In Groveland town, the majority of family households, representing 37.14%, earn $200,000 or more, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 0.0%, have incomes falling $15,000 to $19,999, representing a smaller but still significant segment of the community.
• For Non-Family Households: In Groveland town, the majority of non-family households, accounting for 31.01%, have income $100,000 to $124,999, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 0.0%, earn $15,000 to $19,999, representing a smaller, yet notable, portion of non-family households in the community.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income Levels:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in Groveland, Massachusetts (As mentioned above).
• All Households: Count of households for the specified income level
• % All Households: Percentage of households at the specified income level relative to the total households in Groveland, Massachusetts
• Family Households: Count of family households for the specified income level
• % Family Households: Percentage of family households at the specified income level relative to the total family households in Groveland, Massachusetts
• Non-Family Households: Count of non-family households for the specified income level
• % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in Groveland, Massachusetts

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 Groveland town median household income. You can refer the same here

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.

Petition subject: Property Original: http://nrs.harvard.edu/urn-3:FHCL:13906030 Date of creation: 1750-03-22 Petition location: Salem Selected signatures:Benjamin LyndeRichard DerbyJoshua WardFrancis CabotEpes SargentWarwick Palfray Actions taken on dates: 1750-04-07,1750-04-07,1750-04-12,1750-04-12 Legislative action: Received in the House on April 7, 1750 and read and ordered and sent for concurrence and received in the Council on April 7, 1750 and read and concurred and received in the Council on April 12, 1750 and read again with answer and ordered and sent for concurrence and received in the House on April 12, 1750 and read and concurred Total signatures: 42 Legislative action summary: Received, read, ordered, sent, received, read, concurred, received, read, ordered, sent, received, read, concurred Legal voter signatures (males not identified as non-legal): 42 Female only signatures: No Identifications of signatories: some of the inhabitants Prayer format was printed vs. manuscript: Manuscript Additional archivist notes: assessment, taxes, rates, vessels, trading stock, King George I, valuations Location of the petition at the Massachusetts Archives of the Commonwealth: Massachusetts Archives volume 115, pages 579-582 Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.

USGS-CMG time-series data from the Sandwich Town Neck Beach, Massachusetts, 2017 project, mooring 1088 and package 10881dw-a. Observations of Oceanographic, Atmospheric and Water-Quality for assesment of storm effects on overwash _NCProperties=version=1|netcdflibversion=4.5.0|hdf5libversion=1.10.1 cdm_data_type=TimeSeries cdm_timeseries_variables=latitude, longitude, altitude, feature_type_instance Channel1_name=Pressure Channel1_rangingMode=None Channel1_units=dbar contributor_name=C. Sherwood contributor_role=principalInvestigator Conventions=CF-1.6,ACDD-1.3, COARDS COORD_SYSTEM=GEOGRAPHIC CREATION_DATE=05-Apr-2017 11:57:08 DATA_CMNT=This sensor was deployed on the beach. It may or may not have been submerged by waves or tides, and readings may have been affected by ice formation. DATA_ORIGIN=USGS WHCMSC Sed Trans Group DATA_SUBTYPE=Moored date_metadata_modified=2018-03-22T17:13:00Z DELTA_T=1.0 Deployment_date=2/13/17 DEPTH_CONST=0.0 DESCRIPTION=RBR Solo on beach in north end of overwash channel
DRIFTER=0.0 Easternmost_Easting=-70.47886716 elevation_datum=NAVD88 EXPERIMENT=Sandwich Town Neck Beach featureType=TimeSeries geospatial_bounds=POINT(-70.47886716 41.76492419) geospatial_bounds_crs=EPSG:4326 geospatial_bounds_vertical_crs=NAVD88 geospatial_lat_max=41.76492419 geospatial_lat_min=41.76492419 geospatial_lat_resolution=0 geospatial_lat_units=degrees_north geospatial_lon_max=-70.47886716 geospatial_lon_min=-70.47886716 geospatial_lon_resolution=0 geospatial_lon_units=degrees_east geospatial_vertical_max=2.5377 geospatial_vertical_min=2.5377 geospatial_vertical_positive=up geospatial_vertical_resolution=0 geospatial_vertical_units=m grid_mapping_epsg_code=EPSG:4326 grid_mapping_geoid_name=NAVD88 grid_mapping_inverse_flattening=298.257223563 grid_mapping_long_name=http://www.opengis.net/def/crs/EPSG/0/4326 grid_mapping_name=latitude_longitude grid_mapping_semi_major_axis=6378137.0 grid_mapping_vertical_datum=NAVD88 grid_mapping_water_surface_reference_datum=NAVD88 history=Mon Nov 4 14:00:36 2019: ncatted -a project,global,a,c,, CMG_Portal SANDWICH2017/10881dw-a.nc P_1ac corrected with barometric pressure from nearby platform 10871hwlb.nc; addp1ac2nc corrected pressure for atmospheric using 10871hwlb.nc; Trimmed using trunc_cdfNative, SVN $Revision: 5793 $ to select records in the range 18105 to 183705. 2018-03-22T17:13:00Z - pyaxiom - File created using pyaxiom HostVersion=1.13.7 id=10881dw-a infoUrl=https://stellwagen.er.usgs.gov/ initial_instrument_height=0.05 INST_TYPE=RBR Solo institution=USGS Coastal and Marine Geology Program institution_url=https://woodshole.er.usgs.gov keywords_vocabulary=GCMD Science Keywords latitude=41.76492419 LoggingSamplingPeriod=500.0 longitude=-70.47886716 magnetic_variation=-14.78 Model=RBRsolo MOORING=1088 naming_authority=gov.usgs.cmgp NAVD88_elevation_ref=2.525 ncei_template_version=NCEI_NetCDF_TimeSeries_Orthogonal_Template_v2.0 NCO=netCDF Operators version 4.8.1 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco) Northernmost_Northing=41.76492419 NumberofChannels=1.0 NumberOfSamples=215922.0 original_filename=10881dw-a.nc original_folder=SANDWICH2017 platform_type=lead disk- RBR clamped above POS_CONST=0.0 position_datum=NAD83(2011) PROJECT=USGS Coastal Marine Geology Program project=U.S. Geological Survey Oceanographic Time-Series Data, CMG_Portal project_summary=Observations of Oceanographic, Atmospheric and Water-Quality for assesment of storm effects on overwash project_title=Sandwich Town Neck Beach, Massachusetts, 2017 Recovery_date=2/14/17 SciPi=C. R. Sherwood sensor_offset_ref=0.0127 serial_number=077669 source=USGS sourceUrl=(local files) Southernmost_Northing=41.76492419 standard_name_vocabulary=CF Standard Name Table v29 start_time=13-Feb-2017 15:00:00 stop_time=14-Feb-2017 14:00:00 subsetVariables=latitude, longitude, altitude, feature_type_instance time_coverage_duration=PT82800S time_coverage_end=2017-02-14T14:00:00Z time_coverage_start=2017-02-13T15:00:00Z VAR_FILL=1.0E35 WATER_DEPTH=0.0 WATER_DEPTH_NOTE=deployed in air, on sand Westernmost_Easting=-70.47886716

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Wellesley town. The dataset can be utilized to gain insights into gender-based income distribution within the Wellesley town population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Wellesley town, among individuals aged 15 years and older with income, there were 8,734 men and 11,297 women in the workforce. Among them, 4,815 men were engaged in full-time, year-round employment, while 3,015 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 4.40% fell within the income range of under $24,999, while 4.58% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 78.50% of men in full-time roles earned incomes exceeding $100,000, while 64.78% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

https://i.neilsberg.com/ch/wellesley-ma-income-distribution-by-gender-and-employment-type.jpeg" alt="Wellesley, Massachusetts gender and employment-based income distribution analysis (Ages 15+)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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 Wellesley town median household income by gender. You can refer the same here

Background and Data Limitations The Massachusetts 1830 map series represents a unique data source that depicts land cover and cultural features during the historical period of widespread land clearing for agricultural. To our knowledge, Massachusetts is the only state in the US where detailed land cover information was comprehensively mapped at such an early date. As a result, these maps provide unusual insight into land cover and cultural patterns in 19th century New England. However, as with any historical data, the limitations and appropriate uses of these data must be recognized: (1) These maps were originally developed by many different surveyors across the state, with varying levels of effort and accuracy. (2) It is apparent that original mapping did not follow consistent surveying or drafting protocols; for instance, no consistent minimum mapping unit was identified or used by different surveyors; as a result, whereas some maps depict only large forest blocks, others also depict small wooded areas, suggesting that numerous smaller woodlands may have gone unmapped in many towns. Surveyors also were apparently not consistent in what they mapped as ‘woodlands’: comparison with independently collected tax valuation data from the same time period indicates substantial lack of consistency among towns in the relative amounts of ‘woodlands’, ‘unimproved’ lands, and ‘unimproveable’ lands that were mapped as ‘woodlands’ on the 1830 maps. In some instances, the lack of consistent mapping protocols resulted in substantially different patterns of forest cover being depicted on maps from adjoining towns that may in fact have had relatively similar forest patterns or in woodlands that ‘end’ at a town boundary. (3) The degree to which these maps represent approximations of ‘primary’ woodlands (i.e., areas that were never cleared for agriculture during the historical period, but were generally logged for wood products) varies considerably from town to town, depending on whether agricultural land clearing peaked prior to, during, or substantially after 1830. (4) Despite our efforts to accurately geo-reference and digitize these maps, a variety of additional sources of error were introduced in converting the mapped information to electronic data files (see detailed methods below). Thus, we urge considerable caution in interpreting these maps. Despite these limitations, the 1830 maps present an incredible wealth of information about land cover patterns and cultural features during the early 19th century, a period that continues to exert strong influence on the natural and cultural landscapes of the region.

    Acknowledgements
    Financial support for this project was provided by the BioMap Project of the Massachusetts Natural Heritage and Endangered Species Program, the National Science Foundation, and the Andrew Mellon Foundation. This project is a contribution of the Harvard Forest Long Term Ecological Research Program.

This dataset provides information about the number of properties, residents, and average property values for Massachusetts Avenue cross streets in Johnson City, NY.

Demographic Data for Boston’s Neighborhoods, 1950-2019

Boston is a city defined by the unique character of its many neighborhoods. The historical tables created by the BPDA Research Division from U.S. Census Decennial data describe demographic changes in Boston’s neighborhoods from 1950 through 2010 using consistent tract-based geographies. For more analysis of these data, please see Historical Trends in Boston's Neighborhoods. The most recent available neighborhood demographic data come from the 5-year American Community Survey (ACS). The ACS tables also present demographic data for Census-tract approximations of Boston’s neighborhoods. For pdf versions of the data presented here plus earlier versions of the analysis, please see Boston in Context.

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