5 datasets found
  1. H

    Demography and Class, Work and Education in Boston, 1880-1930

    • dataverse.harvard.edu
    pdf, xlsx, zip
    Updated Apr 3, 2015
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Harvard Dataverse (2015). Demography and Class, Work and Education in Boston, 1880-1930 [Dataset]. http://doi.org/10.7910/DVN/28677
    Explore at:
    pdf(845562), xlsx(19565), xlsx(11569663), zip(194800), xlsx(18954), xlsx(18833), zip(225333), zip(189499)Available download formats
    Dataset updated
    Apr 3, 2015
    Dataset provided by
    Harvard Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    1880 - 1930
    Area covered
    Boston
    Description

    This database, including both datasets and spatial shape files, contains information on occupation, school attendance, nativity, and race of the Boston population, by ward, for the years 1880, 1900, and 1930. This database can be used to visualize the profound changes in the economic, educational, and ethnic composition of Boston between 1880 and 1930. It illustrates, among other changes, the great expansion of secondary school enrollment, the decline of youth participation in the work force, the growth of white-collar jobs, the decline of unskilled labor, and the geographical distribution of the Boston Irish, Italian, Jewish, and African-American populations over time. This contextual knowledge is useful for historians researching this time period, and useful to non-historians by depicting the origins of fundamental changes whose legacy is still present in Boston today. The underlying data are drawn from the Integrated Public Use Microdata Series maintained by the University of Minnesota (see documentation for full citation). The data contained here can also be viewed through an interactive map hosted by BostonMap (http://worldmap.harvard.edu/maps/historical_boston).

  2. a

    BOST-Countries Trading with Port of Boston (1899)

    • nps.hub.arcgis.com
    Updated Oct 4, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Park Service (2024). BOST-Countries Trading with Port of Boston (1899) [Dataset]. https://nps.hub.arcgis.com/maps/b7135b91312b4db3bd6ed68f566db872
    Explore at:
    Dataset updated
    Oct 4, 2024
    Dataset authored and provided by
    National Park Service
    Area covered
    Description

    The Boston Chamber of Commerce's Annual Report for 1899 identified the countries that imported and exported goods to/from Boston (pg 233). The goods and cities identified in this map were determined from the rest of the report. Cities from around the world received or shipped goods to Boston. The highest percentage of cities are located in Europe, with a few other cities scattered in Asia, Africa, and South America. One city in Australia is also included.Web map featured in Hoosac Tunnel Docks story map on Boston National Historical Park website.

  3. a

    BOST-1899 BostonFeatured TradeMap

    • nps.hub.arcgis.com
    Updated Oct 4, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Park Service (2024). BOST-1899 BostonFeatured TradeMap [Dataset]. https://nps.hub.arcgis.com/datasets/165c7dd0c69e4eb4adb75fe7a56278a7
    Explore at:
    Dataset updated
    Oct 4, 2024
    Dataset authored and provided by
    National Park Service
    Area covered
    Description

    This CSV contains data from the Boston Chamber of Commerce's Annual Report for 1899, which identified the countries that imported and exported goods to/from Boston (pg 233). Cities from around the world received or shipped goods to Boston. This map solely features Boston to distinguish this city from the rest.Data used in web map featured in Hoosac Tunnel Docks story map on Boston National Historical Park website.

  4. a

    BOST-1899 BostonHarbor TradeMap

    • nps.hub.arcgis.com
    Updated Oct 4, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Park Service (2024). BOST-1899 BostonHarbor TradeMap [Dataset]. https://nps.hub.arcgis.com/datasets/16fd7321a8b2400d82a6b5365e8038ce
    Explore at:
    Dataset updated
    Oct 4, 2024
    Dataset authored and provided by
    National Park Service
    Area covered
    Description

    This CSV contains data from the Boston Chamber of Commerce's Annual Report for 1899, which identified the countries that imported and exported goods to/from Boston (pg 233). The goods and cities identified in this map were determined from the rest of the report. Cities from around the world received or shipped goods to Boston. The highest percentage of cities are located in Europe, with a few other cities scattered in Asia, Africa, and South America. One city in Australia is also included.Data used in web map featured in Hoosac Tunnel Docks story map on Boston National Historical Park website.

  5. c

    The global HD Map for Autonomous Vehicle Market size will be USD 1624.8...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated May 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Cognitive Market Research (2025). The global HD Map for Autonomous Vehicle Market size will be USD 1624.8 million in 2025. [Dataset]. https://www.cognitivemarketresearch.com/hd-map-for-autonomous-vehicle-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global HD Map for Autonomous Vehicle Market size will be USD 1624.8 million in 2025. It will expand at a compound annual growth rate (CAGR) of 31.50% from 2025 to 2033.

    North America held the major market share for more than 37% of the global revenue with a market size of USD 601.18 million in 2025 and will grow at a compound annual growth rate (CAGR) of 29.3% from 2025 to 2033.
    Europe accounted for a market share of over 29% of the global revenue with a market size of USD 471.19 million.
    APAC held a market share of around 24% of the global revenue with a market size of USD 389.95 million in 2025 and will grow at a compound annual growth rate (CAGR) of 33.5% from 2025 to 2033.
    South America has a market share of more than 3.8% of the global revenue with a market size of USD 61.74 million in 2025 and will grow at a compound annual growth rate (CAGR) of 30.5% from 2025 to 2033.
    Middle East had a market share of around 4.00% of the global revenue and was estimated at a market size of USD 64.99 million in 2025 and will grow at a compound annual growth rate (CAGR) of 30.8% from 2025 to 2033.
    Africa had a market share of around 2.20% of the global revenue and was estimated at a market size of USD 35.75 million in 2025 and will grow at a compound annual growth rate (CAGR) of 31.2% from 2025 to 2033.
    Commercial Vehicles is the fastest growing segment of the HD Map for Autonomous Vehicle Market industry
    

    Market Dynamics of HD Map for Autonomous Vehicle Market

    Key Drivers for HD Map for Autonomous Vehicle Market

    Rising adoption of autonomous and semi-autonomous vehicles fuel the market demand

    The global shift toward autonomous and semi-autonomous vehicles is significantly propelling the demand for HD maps. With increasing consumer inclination toward advanced driver-assistance systems (ADAS) and partial automation features such as lane centering, adaptive cruise control, and self-parking, automakers are integrating high-definition maps into vehicle systems for enhanced precision. HD maps support sensor fusion and real-time decision-making by providing centimeter-level accuracy, which is essential for safe navigation. As Level 2 and Level 3 vehicles become more mainstream, particularly in North America, Europe, and East Asia, the dependency on detailed geospatial data is expanding rapidly. According to the 2025 report by the World Economic Forum in partnership with Boston Consulting Group, about 4% of newly sold personal vehicles in 2035 are projected to be equipped with Level 4 autonomous capabilities. This growth trajectory is further supported by regulatory encouragement and pilot testing of autonomous technologies, creating a solid foundation for market expansion.

    https://reports.weforum.org/docs/WEF_Autonomous_Vehicles_2025.pdf

    Increasing demand for real-time navigation and safety features boosts the industry

    The rising demand for real-time navigation and vehicle safety systems is a core driver of the HD map market. Traditional maps fall short in offering the dynamic data required for autonomous driving, such as lane-level information, road gradients, and obstacle detection. HD maps bridge this gap by providing enriched geospatial content that complements vehicle sensors, enabling safer and more reliable driving decisions. Consumers are increasingly valuing safety-centric features, and automakers are responding with integrated solutions that rely on continuously updated and context-aware HD maps. These maps enhance situational awareness in complex traffic scenarios, support predictive navigation, and reduce the risk of collisions. As real-time responsiveness becomes a critical factor in vehicular operations, the demand for HD mapping solutions continues to surge.

    Restraint Factor for the HD Map for Autonomous Vehicle Market

    High cost of map creation and frequent updates limit market growth

    One of the primary constraints hindering the widespread adoption of HD maps is the high cost associated with their creation and maintenance. Generating centimeter-level accurate maps requires advanced hardware such as LiDAR, high-resolution cameras, and precise GPS systems, all of which involve substantial capital expenditure. Moreover, these maps must be frequently updated to reflect real-time changes in road conditions, traffic patterns, construction zones, and signage. The continual need for accurate, up-to-date data further increases ...

  6. 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
Harvard Dataverse (2015). Demography and Class, Work and Education in Boston, 1880-1930 [Dataset]. http://doi.org/10.7910/DVN/28677

Demography and Class, Work and Education in Boston, 1880-1930

Explore at:
pdf(845562), xlsx(19565), xlsx(11569663), zip(194800), xlsx(18954), xlsx(18833), zip(225333), zip(189499)Available download formats
Dataset updated
Apr 3, 2015
Dataset provided by
Harvard Dataverse
License

CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically

Time period covered
1880 - 1930
Area covered
Boston
Description

This database, including both datasets and spatial shape files, contains information on occupation, school attendance, nativity, and race of the Boston population, by ward, for the years 1880, 1900, and 1930. This database can be used to visualize the profound changes in the economic, educational, and ethnic composition of Boston between 1880 and 1930. It illustrates, among other changes, the great expansion of secondary school enrollment, the decline of youth participation in the work force, the growth of white-collar jobs, the decline of unskilled labor, and the geographical distribution of the Boston Irish, Italian, Jewish, and African-American populations over time. This contextual knowledge is useful for historians researching this time period, and useful to non-historians by depicting the origins of fundamental changes whose legacy is still present in Boston today. The underlying data are drawn from the Integrated Public Use Microdata Series maintained by the University of Minnesota (see documentation for full citation). The data contained here can also be viewed through an interactive map hosted by BostonMap (http://worldmap.harvard.edu/maps/historical_boston).

Search
Clear search
Close search
Google apps
Main menu