11 datasets found
  1. TIGER/Line Shapefile, Current, Nation, U.S., New England City and Town Area...

    • datasets.ai
    23, 55, 57
    Updated Dec 15, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Census Bureau, Department of Commerce (2023). TIGER/Line Shapefile, Current, Nation, U.S., New England City and Town Area (NECTA) Divisions [Dataset]. https://datasets.ai/datasets/tiger-line-shapefile-current-nation-u-s-new-england-city-and-town-area-necta-divisions
    Explore at:
    23, 57, 55Available download formats
    Dataset updated
    Dec 15, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S. Census Bureau, Department of Commerce
    Area covered
    New England, United States
    Description

    This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national filewith no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independentdata set, or they can be combined to cover the entire nation. New England City and Town Area (NECTA) Divisions subdivide a NECTA containing a single core urban area that has a population of at least 2.5 million to form smaller groupings of cities and towns. NECTA Divisions are defined by the Office of Management and Budget (OMB) and consist of a main city or town that represents an employment center, plus adjacent cities and towns associated with the main cityor town through commuting ties. Each NECTA Division must contain a total population of 100,000 or more. Because NECTA Divisions represent subdivisions of larger NECTAs, it is not appropriate to rank or compare NECTA Divisions with NECTAs.Not all NECTAs with urban areas of this size will contain NECTA Divisions. The NECTA Divisions boundaries are those defined by OMB based on the 2010 Census, published in 2013, and updated in 2017.

  2. US 2020 Census Cities Populations & Coordinates

    • kaggle.com
    zip
    Updated Oct 26, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    hugequiz.com (2021). US 2020 Census Cities Populations & Coordinates [Dataset]. https://www.kaggle.com/datasets/darinhawley/us-2021-census-cities-populations-coordinates/code
    Explore at:
    zip(406565 bytes)Available download formats
    Dataset updated
    Oct 26, 2021
    Authors
    hugequiz.com
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    United States
    Description

    This is complete US 2020 Census Data for all cities and other incorporated places - this includes MI charter townships, New England towns, and other 'city-equivalent' type places. Unincorporated towns, CDP's (outside of HI), townships, etc are not included.

    Created this using census.gov for use on my website in quizzes such as: https://hugequiz.com/quizzes/us-largest-cities/ https://hugequiz.com/quizzes/us-all-places-choose-your-state/ https://hugequiz.com/quizzes/us-all-cities-by-first-letter-choose-letter/

  3. N

    Age-wise distribution of New England, ND household incomes: Comparative...

    • neilsberg.com
    csv, json
    Updated Jan 9, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Neilsberg Research (2024). Age-wise distribution of New England, ND household incomes: Comparative analysis across 16 income brackets [Dataset]. https://www.neilsberg.com/research/datasets/8612f1eb-8dec-11ee-9302-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jan 9, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    North Dakota, New England
    Variables measured
    Number of households with income $200,000 or more, Number of households with income less than $10,000, Number of households with income between $15,000 - $19,999, Number of households with income between $20,000 - $24,999, Number of households with income between $25,000 - $29,999, Number of households with income between $30,000 - $34,999, Number of households with income between $35,000 - $39,999, Number of households with income between $40,000 - $44,999, Number of households with income between $45,000 - $49,999, Number of households with income between $50,000 - $59,999, and 6 more
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. It delineates income distributions across 16 income brackets (mentioned above) following an initial analysis and categorization. Using this dataset, you can find out the total number of households within a specific income bracket along with how many households with that income bracket for each of the 4 age cohorts (Under 25 years, 25-44 years, 45-64 years and 65 years and over). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the the household distribution across 16 income brackets among four distinct age groups in New England: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

    Key observations

    • Upon closer examination of the distribution of households among age brackets, it reveals that there are 19(7.34%) households where the householder is under 25 years old, 84(32.43%) households with a householder aged between 25 and 44 years, 70(27.03%) households with a householder aged between 45 and 64 years, and 86(33.20%) households where the householder is over 65 years old.
    • The age group of under 25 years exhibits the highest median household income, while the largest number of households falls within the 65 years and over bracket. This distribution hints at economic disparities within the city of New England, showcasing varying income levels among different age demographics.
    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:

    • 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
    • $100,000 to $124,999
    • $125,000 to $149,999
    • $150,000 to $199,999
    • $200,000 or more

    Variables / Data Columns

    • Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
    • Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
    • 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
    • 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
    • 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

    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 New England median household income by age. You can refer the same here

  4. 2020 Cartographic Boundary File (KML), Current New England City and Town...

    • s.cnmilf.com
    • datasets.ai
    • +1more
    Updated Dec 14, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Customer Engagement Branch (Point of Contact) (2023). 2020 Cartographic Boundary File (KML), Current New England City and Town Area (NECTA) Division for United States, 1:500,000 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/2020-cartographic-boundary-file-kml-current-new-england-city-and-town-area-necta-division-for-u
    Explore at:
    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Department of Commercehttp://commerce.gov/
    United States Census Bureauhttp://census.gov/
    Area covered
    New England, United States
    Description

    The 2020 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. New England City and Town Area (NECTA) Divisions subdivide a NECTA containing a single core urban area that has a population of at least 2.5 million to form smaller groupings of cities and towns. NECTA Divisions are defined by the Office of Management and Budget (OMB) and consist of a main city or town that represents an employment center, plus adjacent cities and towns associated with the main city or town through commuting ties. Each NECTA Division must contain a total population of 100,000 or more. Because NECTA Divisions represent subdivisions of larger NECTAs, it is not appropriate to rank or compare NECTA Divisions with NECTAs. Not all NECTAs with urban areas of this size will contain NECTA Divisions. The generalized boundaries in this file are based on those defined by OMB based on the 2010 Census, published in 2013, and updated in 2020.

  5. Largest urban agglomerations in the UK in 2025

    • statista.com
    Updated Nov 28, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Largest urban agglomerations in the UK in 2025 [Dataset]. https://www.statista.com/statistics/294645/population-of-selected-cities-in-united-kingdom-uk/
    Explore at:
    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    United Kingdom
    Description

    London was by far the largest urban agglomeration in the United Kingdom in 2025, with an estimated population of *** million people, more than three times as large as Manchester, the UK’s second-biggest urban agglomeration. The agglomerations of Birmingham and Leeds / Bradford had the third and fourth-largest populations, respectively, while the biggest city in Scotland, Glasgow, was the fifth largest. Largest cities in Europe Two cities in Europe had larger urban areas than London, with Istanbul having a population of around **** million and the Russian capital Moscow having a population of over **** million. The city of Paris, located just over 200 miles away from London, was the second-largest city in Europe, with a population of more than **** million people. Paris was followed by London in terms of population size, and then by the Spanish cities of Madrid and Barcelona, at *** million and *** million people, respectively. The Italian capital, Rome, was the next largest city at *** million, followed by Berlin at *** million. London’s population growth Throughout the 1980s, the population of London fluctuated from a high of **** million people in 1981 to a low of **** million inhabitants in 1988. During the 1990s, the population of London increased once again, growing from ****million at the start of the decade to **** million by 1999. London's population has continued to grow since the turn of the century, and despite declining between 2019 and 2021, it reached *** million people in 2023 and is forecast to reach almost *** million by 2047.

  6. w

    2017_nectadiv

    • data.wu.ac.at
    Updated Nov 17, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    US Census Bureau, Department of Commerce (2017). 2017_nectadiv [Dataset]. https://data.wu.ac.at/schema/data_gov/NDMyNTVlMTItZmVjNS00ZThmLTgzNzktNjY0NjIyOTlhNTg5
    Explore at:
    Dataset updated
    Nov 17, 2017
    Dataset provided by
    US Census Bureau, Department of Commerce
    Description

    New England City and Town Area (NECTA) Divisions subdivide a NECTA containing a single core urban area that has a population of at least 2.5 million to form smaller groupings of cities and towns. NECTA Divisions are defined by the Office of Management and Budget (OMB) and consist of a main city or town that represents an employment center, plus adjacent cities and towns associated with the main city or town through commuting ties.

  7. w

    Current NECTA Division National Shapefile

    • data.wu.ac.at
    Updated Sep 19, 2013
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    US Census Bureau, Department of Commerce (2013). Current NECTA Division National Shapefile [Dataset]. https://data.wu.ac.at/schema/data_gov/MGZjYWE5MzgtNmZmNy00OTExLTkyNjEtZDk1OTlkYzg1YTBl
    Explore at:
    Dataset updated
    Sep 19, 2013
    Dataset provided by
    US Census Bureau, Department of Commerce
    Description

    New England City and Town Area (NECTA) Divisions subdivide a NECTA containing a single core urban area that has a population of at least 2.5 million to form smaller groupings of cities and towns. NECTA Divisions are defined by the Office of Management and Budget (OMB) and consist of a main city or town that represents an employment center, plus adjacent cities and towns associated with the main city or town through commuting ties. Each NECTA Division must contain a total population of 100,000 or more. Because NECTA Divisions represent subdivisions of larger NECTAs, it is not appropriate to rank or compare NECTA Divisions with NECTAs. Not all NECTAs with urban areas of this size will contain NECTA Divisions. The NECTA Divisions boundaries are those defined by OMB based on the 2010 Census and published in 2013.

  8. Population density of the United States 2019

    • statista.com
    Updated Dec 15, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2019). Population density of the United States 2019 [Dataset]. https://www.statista.com/statistics/183475/united-states-population-density/
    Explore at:
    Dataset updated
    Dec 15, 2019
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This graph shows the population density of the United States of America from 1790 to 2019. In 2019, the population density was approximately 92.9 residents per square mile of land area. Population density in the United States Population density has been tracked for over two hundred years in the United States. Over the last two centuries, the number of people living in the United States per square mile has grown from 4.5 in 1790 to 87.4 in 2010. After examining the data in detail, it becomes clear that a major population increase started around 1870. Population density was roughly 11 at the time and has doubled in the last century. Since then, population density grew by about 16 percent each decade. Population density doubled in 1900, and grew in total by around 800 percent until 2010.

    The population density of the United States varies from state to state. The most densely populated state is New Jersey, with 1,208 people per square mile living there. Rhode Island is the second most densely populated state, with slightly over 1,000 inhabitants per square mile. A number of New England states follow at the top of the ranking, making the northeastern region of the United States the most densely populated region of the country.

    The least populated U.S. state is the vast territory of Alaska. Only 1.3 inhabitants per square mile reside in the largest state of the U.S.

    Compared to other countries around the world, the United States does not rank within the top 50, in terms of population density. Most of the leading countries and territories are city states. However, the U.S. is one of the most populous countries in the world, with a total population of over 327 million inhabitants, as of 2018.

  9. P

    Papua New Guinea PG: Population in Largest City: as % of Urban Population

    • ceicdata.com
    Updated Nov 14, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2021). Papua New Guinea PG: Population in Largest City: as % of Urban Population [Dataset]. https://www.ceicdata.com/en/papua-new-guinea/population-and-urbanization-statistics/pg-population-in-largest-city-as--of-urban-population
    Explore at:
    Dataset updated
    Nov 14, 2021
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    Papua New Guinea, New Guinea
    Description

    Papua New Guinea PG: Population in Largest City: as % of Urban Population data was reported at 33.249 % in 2017. This records a decrease from the previous number of 33.378 % for 2016. Papua New Guinea PG: Population in Largest City: as % of Urban Population data is updated yearly, averaging 32.114 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 38.857 % in 1960 and a record low of 26.586 % in 1971. Papua New Guinea PG: Population in Largest City: as % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Papua New Guinea – Table PG.World Bank: Population and Urbanization Statistics. Population in largest city is the percentage of a country's urban population living in that country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; Weighted average;

  10. Rail passenger numbers and crowding on weekdays in major cities in England...

    • gov.uk
    Updated Jul 24, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Department for Transport (2019). Rail passenger numbers and crowding on weekdays in major cities in England and Wales: 2018 [Dataset]. https://www.gov.uk/government/statistics/rail-passenger-numbers-and-crowding-on-weekdays-in-major-cities-in-england-and-wales-2018
    Explore at:
    Dataset updated
    Jul 24, 2019
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Transport
    Area covered
    England, Wales
    Description

    In 2018, passenger arrivals have increased in most major cities. This is in line with the growth in rail journeys seen in recent years.

    • London remains the city with the highest rail passenger numbers with 8 times more passengers across the day than Birmingham, the city with the second highest.

    • During peak hours, more than 230,000 passengers were standing on trains in London. However, morning peak crowding in London is the lowest since 2014.

    • In other cities, the number of standing passengers was much lower. After London, the next highest was Birmingham with 17,300 standing. However, the percentage of passengers standing has grown across seven major cities.

    • Using the PiXC measure, Cambridge had the highest crowding level of 4.8% with 800 passengers over train capacity.

    Background information on the rail passenger numbers and crowding statistics and how they are collected can be found in the notes and definitions.

    Rail statistics enquiries

    Email mailto:rail.stats@dft.gov.uk">rail.stats@dft.gov.uk

    Media enquiries 0300 7777 878

  11. Rail passenger numbers and crowding on weekdays in major cities in England...

    • gov.uk
    Updated Sep 10, 2014
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Department for Transport (2014). Rail passenger numbers and crowding on weekdays in major cities in England and Wales: 2013 [Dataset]. https://www.gov.uk/government/statistics/rail-passenger-numbers-and-crowding-on-weekdays-in-major-cities-in-england-and-wales-2013
    Explore at:
    Dataset updated
    Sep 10, 2014
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Transport
    Area covered
    England, Wales
    Description

    This release presents information from 2013 about rail passenger numbers on trains throughout the day in several major cities, as well as the levels of peak crowding.

    These statistics are based on passenger counts carried out by franchised train operators of the numbers of passengers using their services in the autumn period and represent passenger numbers on a ‘typical weekday’. They cover national rail services only.

    Main results

    On a typical autumn weekday in 2013:

    • overall peak crowding across the 11 cities included in these statistics remains virtually unchanged since 2012, with 2.6% of passengers in excess of capacity (PiXC), an increase of 0.1 percentage point. Crowding was higher in the 3 hour morning peak (7 to 10am), which had 3.4% PiXC compared to 1.7% in the afternoon peak (4 to 7pm)
    • crowding was higher in London than in other cities, with 3.1% PiXC in London compared to 1.0% PiXC across the other 10 cities. The highest crowding outside London was in Sheffield, which had 2.6% PiXC
    • in London, 120,000 passengers had to stand at trains’ busiest points in the morning peak, 20% of the overall total. 24% of morning peak trains were over capacity and in total 60% had passengers standing
    • in the morning peak 545,000 passengers arrived by rail into central London (Zone 1 of the travelcard area), a 2% increase from the year before. Just under 1 million passengers arrived into central London by rail across the whole day
    • the city outside London with the highest number of passengers was Birmingham, with 39,000 passengers on board trains arriving into the city centre in the morning peak. Manchester had 30,000 morning peak arrivals and Leeds 24,000

    Background information on the rail passenger numbers and crowding statistics and how they are collected can be found in the notes and definitions.

    Contact us

    Rail statistics enquiries

    Email mailto:rail.stats@dft.gov.uk">rail.stats@dft.gov.uk

    Media enquiries 0300 7777 878

  12. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
U.S. Census Bureau, Department of Commerce (2023). TIGER/Line Shapefile, Current, Nation, U.S., New England City and Town Area (NECTA) Divisions [Dataset]. https://datasets.ai/datasets/tiger-line-shapefile-current-nation-u-s-new-england-city-and-town-area-necta-divisions
Organization logo

TIGER/Line Shapefile, Current, Nation, U.S., New England City and Town Area (NECTA) Divisions

Explore at:
23, 57, 55Available download formats
Dataset updated
Dec 15, 2023
Dataset provided by
United States Census Bureauhttp://census.gov/
Authors
U.S. Census Bureau, Department of Commerce
Area covered
New England, United States
Description

This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national filewith no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independentdata set, or they can be combined to cover the entire nation. New England City and Town Area (NECTA) Divisions subdivide a NECTA containing a single core urban area that has a population of at least 2.5 million to form smaller groupings of cities and towns. NECTA Divisions are defined by the Office of Management and Budget (OMB) and consist of a main city or town that represents an employment center, plus adjacent cities and towns associated with the main cityor town through commuting ties. Each NECTA Division must contain a total population of 100,000 or more. Because NECTA Divisions represent subdivisions of larger NECTAs, it is not appropriate to rank or compare NECTA Divisions with NECTAs.Not all NECTAs with urban areas of this size will contain NECTA Divisions. The NECTA Divisions boundaries are those defined by OMB based on the 2010 Census, published in 2013, and updated in 2017.

Search
Clear search
Close search
Google apps
Main menu