18 datasets found
  1. U.S. most important issues 2025

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). U.S. most important issues 2025 [Dataset]. https://www.statista.com/statistics/1362236/most-important-voter-issues-us/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 16, 2025 - Feb 18, 2025
    Area covered
    United States
    Description

    A survey conducted in February 2025 found that the most important issue for ** percent of Americans was inflation and prices. A further ** percent of respondents were most concerned about jobs and the economy.

  2. A

    ‘Polling station sectors in 2020 ’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Aug 4, 2020
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2020). ‘Polling station sectors in 2020 ’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-europa-eu-polling-station-sectors-in-2020-5b29/e4fd5939/?iid=000-853&v=presentation
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    Dataset updated
    Aug 4, 2020
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Polling station sectors in 2020 ’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/613c2a4d8adb4dd5892bd965 on 18 January 2022.

    --- Dataset description provided by original source is as follows ---

    • * Seal of polling stations in 2020 * *

    Representation of the disorder of polling stations applicable from February 2020.

    Surface layer of polling station sectors from SIEL (Election Information System).

    The boundaries of the sectors do not necessarily pass through the axis of the tracks, are not based on building boundaries and can cut up an island. The layout takes account of the location of the address points and aims to cover all the address points attached to a polling station.

    The voting office sectors are defined by the Elections and Population Records Office of the Directorate for Democracy, Citizens and Territories (DCSD)

    --- Original source retains full ownership of the source dataset ---

  3. Romanian electoral elections sources of information 2024, by income

    • statista.com
    Updated May 23, 2025
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    Statista (2025). Romanian electoral elections sources of information 2024, by income [Dataset]. https://www.statista.com/statistics/1490516/romania-electoral-elections-sources-of-information-by-income/
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    Dataset updated
    May 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Romania
    Description

    Nearly a third of Romanians considered exit polls on the day of elections to be a trustworthy source of information in 2024. However, it was mainly people with medium income. Meanwhile, low-income Romanians considered the most trustworthy source of information for elections to be opinion polls ordered by political parties, while high-income people mostly trusted opinion polls organized by media or NGOs.

  4. Election 2012 exit polls: percentage of votes by ethnicity

    • statista.com
    Updated Nov 7, 2012
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    Statista (2012). Election 2012 exit polls: percentage of votes by ethnicity [Dataset]. https://www.statista.com/statistics/245878/voter-turnout-of-the-exit-polls-of-the-2012-elections-by-ethnicity/
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    Dataset updated
    Nov 7, 2012
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 6, 2012
    Area covered
    United States
    Description

    This graph shows the percentage of votes of the 2012 presidential elections in the United States on November 6, 2012, by ethnicity. According to the exit polls, about 71 percent of Hispanic voters nationwide have voted for Barack Obama. Elections in the U.S. The process of electing the President and the Vice President in the United States is an indirect vote in which citizens of the United State, 18 years of age or older have the right to vote for a slate of electors, who cast the votes that decide who becomes the President of the United States.

    The presidential election in 2012, which was held on November 6, was the re-election of the Democratic Party’s nominee Barack Obama, who won the elections with about 65.9 million votes from the U.S. population. His opponent Mitt Romney, who was the Republican Party’s nominee for President of the United States, gathered about 60.9 million votes.

    The voting rates vary from state to state, 75.9 percent of American citizen voted in District in Columbia, while 47.8 percent of the citizens voted in the presidential elections in 2012. The total voting rate stood at 61.8 percent in the United States.

    It is important for the Parties to reach the voting population in the country when the Presidential elections are coming up. Campaigns have many financial sources, such as donations and fundraisers. Fundraising plays a big role in presidential campaigns. In the election period from 2011 to 2012, about 1.36 billion U.S. dollars were spent for Presidential Campaign finance.

    The disbursement received for Presidential Campaign financing of the Democratic Party stood at 737.1 million U.S. dollar between 2011 and 2012, while the Presidential Campaign of the Republican Party spent 633.4 U.S. dollar.

  5. W00527: NOS Hydrographic Survey , External Source Data 2020, 2020-01-21

    • catalog.data.gov
    • gimi9.com
    Updated Jul 7, 2023
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    DOC/NOAA/NOS/OCS/HSD > Hydrographic Surveys Division, Office of Coast Survey, National Ocean Service, NOAA, U.S. Department of Commerce (Point of Contact) (2023). W00527: NOS Hydrographic Survey , External Source Data 2020, 2020-01-21 [Dataset]. https://catalog.data.gov/dataset/w00527-nos-hydrographic-survey-external-source-data-2020-2020-01-211
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    Dataset updated
    Jul 7, 2023
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    United States Department of Commercehttp://www.commerce.gov/
    National Ocean Servicehttps://oceanservice.noaa.gov/
    Description

    The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

  6. A

    ‘Polling Stations - Roscommon’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 13, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Polling Stations - Roscommon’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-europa-eu-polling-stations-roscommon-98e5/1edfd8c6/?iid=002-034&v=presentation
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    Dataset updated
    Jan 13, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Area covered
    Roscommon
    Description

    Analysis of ‘Polling Stations - Roscommon’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/6339df4a-9878-451f-b60e-a0269a4d0809 on 13 January 2022.

    --- Dataset description provided by original source is as follows ---

    Polling Station Locations in County Roscommon.


    Dataset Publisher: Roscommon County Council,
    Dataset language: English,
    Spatial Projection: Web Mercator,
    Date of Creation: 2011,
    Last Updated: March, 2014,
    Update Frequency: As Required.

    Roscommon County Council provides this information with the understanding that it is not guaranteed to be accurate, correct or complete. Roscommon County Council accepts no liability for any loss or damage suffered by those using this data for any purpose.

    --- Original source retains full ownership of the source dataset ---

  7. h

    Supporting data for "A Meta-Intervention: Quantifying the Impact of Social...

    • datahub.hku.hk
    Updated May 23, 2025
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    Mingzhe Quan (2025). Supporting data for "A Meta-Intervention: Quantifying the Impact of Social Media Information on Adherence to Non-Pharmaceutical Interventions" [Dataset]. http://doi.org/10.25442/hku.29068061.v1
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    Dataset updated
    May 23, 2025
    Dataset provided by
    HKU Data Repository
    Authors
    Mingzhe Quan
    License

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

    Description

    This dataset supports a research project in the field of digital medicine, which aims to quantify the impact of disseminating scientific information on social media—as a form of "meta-intervention"—on public adherence to Non-Pharmaceutical Interventions (NPIs) during health crises such as the COVID-19 pandemic. The research encompasses multiple sub-studies and pilot experiments, drawing data from various global and China-specific social media platforms.The data included in this submission has been collected from several sources:From Sina Weibo and Tencent WeChat, 189 online poll datasets were collected, involving a total of 1,391,706 participants. These participants are users of Sina Weibo or Tencent WeChat.From Twitter, 187 tweets published by scientists (verified with a blue checkmark) related to COVID-19 were collected.From Xiaohongshu and Bilibili, textual content from 143 user posts/videos concerning COVID-19, along with associated user comments and specific user responses to a question, were gathered.It is important to note that while the broader research project also utilized a 3TB Reddit corpus hosted on Academic Torrents (academictorrents.com), this specific Reddit dataset is publicly available directly from Academic Torrents and is not included in this particular DataHub submission. The submitted dataset comprises publicly available data, formatted as Excel files (.xlsx), and includes the following:Filename: scientists' discourse (source from screenshot of tweets)Description: This file contains screenshots of tweets published by scientists on Twitter concerning COVID-19 research, its current status, and related topics. It also includes a coded analysis of the textual content from these tweets. Specific details regarding the coding scheme can be found in the readme.txt file.Filename: The links of online polls (Weibo & WeChat)Description: This data file includes information from online polls conducted on Weibo and WeChat after December 7, 2022. These polls, often initiated by verified users (who may or may not be science popularizers), aimed to track the self-reported proportion of participants testing positive for COVID-19 (via PCR or rapid antigen test) or remaining negative, particularly during periods of rapid Omicron infection spread. The file contains links to the original polls, links to the social media accounts that published these polls, and relevant metadata about both the poll-creating accounts and the online polls themselves.Filename: Online posts & comments (From Xiaohongshu & Bilibili)Description: This file contains textual content from COVID-19 related posts and videos published by users on the Xiaohongshu and Bilibili platforms. It also includes user-generated comments reacting to these posts/videos, as well as user responses to a specific question posed within the context of the original content.Key Features of this Dataset:Data Type: Mixed, including textual data, screenshots of social media posts, web links to original sources, and coded metadata.Source Platforms: Twitter (global), Weibo/WeChat (primarily China), Xiaohongshu (China), and Bilibili (video-sharing platform, primarily China).Use Case: This dataset is intended for the analysis of public discourse, the dissemination of scientific information, and user engagement patterns across different cultural contexts and social media platforms, particularly in relation to public health information.

  8. l

    CES3 Poll Percentile (LACo)

    • geohub.lacity.org
    • visionzero.geohub.lacity.org
    • +1more
    Updated Feb 24, 2021
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    LA Sanitation (2021). CES3 Poll Percentile (LACo) [Dataset]. https://geohub.lacity.org/datasets/labos::ces3-poll-percentile-laco
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    Dataset updated
    Feb 24, 2021
    Dataset authored and provided by
    LA Sanitation
    Area covered
    Description

    The Office of Environmental Health Hazard Assessment (OEHHA), on behalf of the California Environmental Protection Agency (CalEPA), announces the availability of the Communities Environmental Health Screening Tool: CalEnviroScreen Version 3.0 (CalEnviroScreen 3.0). CalEnviroScreen is a screening methodology that can be used to help identify California communities that are disproportionately burdened by multiple sources of pollution. The 3.0 report and supporting documents are available at: http://oehha.ca.gov/calenviroscreen/report/calenviroscreen-30

  9. Survey on the cost of electricity generation from renewable sources in...

    • statista.com
    Updated Jul 15, 2024
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    Statista (2024). Survey on the cost of electricity generation from renewable sources in Turkey 2021 [Dataset]. https://www.statista.com/statistics/1332913/turkey-survey-on-the-cost-of-renewable-electricity-generation/
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    Dataset updated
    Jul 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 11, 2021 - Sep 12, 2021
    Area covered
    Turkey
    Description

    An opinion poll conducted in Turkey in September 2021 revealed Turkish people's thoughts on the costliness of renewable energy sources compared to the finite energy sources. One-third of the respondents thought that electricity generation from renewable sources would be more expensive than using sources such as coal and natural gas.

  10. U

    California Poll October 1982

    • dataverse-staging.rdmc.unc.edu
    Updated Nov 30, 2007
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    UNC Dataverse (2007). California Poll October 1982 [Dataset]. https://dataverse-staging.rdmc.unc.edu/dataset.xhtml?persistentId=hdl:1902.29/D-30770
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    tsv(570409), pdf(3766465), application/x-sas-transport(2177200), application/x-spss-por(583362)Available download formats
    Dataset updated
    Nov 30, 2007
    Dataset provided by
    UNC Dataverse
    License

    https://dataverse-staging.rdmc.unc.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=hdl:1902.29/D-30770https://dataverse-staging.rdmc.unc.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=hdl:1902.29/D-30770

    Time period covered
    Oct 1, 1982 - Oct 4, 1982
    Area covered
    California
    Description

    This survey was conducted among residents of California on many topics including most important problem, registered to vote, candidate and party preference, propositions, source of information about campaign, and campaign spending.

  11. Participation Survey, 2022-2023: Open Access

    • beta.ukdataservice.ac.uk
    • datacatalogue.cessda.eu
    Updated 2023
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    Culture Department For Digital (2023). Participation Survey, 2022-2023: Open Access [Dataset]. http://doi.org/10.5255/ukda-sn-9126-1
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    Dataset updated
    2023
    Dataset provided by
    DataCitehttps://www.datacite.org/
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Culture Department For Digital
    Description

    The Participation Survey is a continuous push-to-web survey of adults aged 16 and over in England. It serves as a successor to the Taking Part survey, which ran for 16 years as a continuous face to face survey. Paper surveys are available for those not digitally engaged. Fieldwork started in October 2021 and it is envisaged that the survey will be a key evidence source for Department for Digital, Culture, Media and Sport (DCMS) and its sectors by providing statistically representative national estimates of adult engagement with the DCMS sectors. The survey’s main objectives are to:

    • Provide a central, reliable evidence source that can be used to analyse cultural, digital, and sporting engagement, providing a clear picture of why people do or do not engage.
    • Provide data at a county level to meet user needs, including providing evidence for the levelling up agenda.
    • Underpin further research on driving engagement and the value and benefits of engagement.

    Further information on the survey can be found on the gov.uk Participation Survey webpage.

    Three versions of the Participation Survey 2022-2023 are available:

    • This open access version (SN 9126). This version is freely available to download and does not require UK Data Service registration.
    • A safeguarded dataset (SN 9125), which includes some additional detail. It is only available to registered UKDS users who have agreed to abide by the conditions of the End User Licence.
    • A Secure Access version containing all years (SN 9014), which contains further detailed information. Access to this version is very restricted and requires UKDS registration, completion of an extensive application form, approval from the depositor, and successful completion of a Safe Researcher Training course before access can be granted. Users are advised to first download the safeguarded version (SN 9125) to check whether it includes sufficient detail for their research, before considering making an application for the Secure Access version.

    Details of all variables available for the version concerned can be found in the UKDS Data Dictionary - see the Documentation section.

  12. Survey on most important news media in Denmark 2016

    • statista.com
    Updated Nov 18, 2016
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    Statista (2016). Survey on most important news media in Denmark 2016 [Dataset]. https://www.statista.com/statistics/674099/survey-on-most-important-news-media-in-denmark/
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    Dataset updated
    Nov 18, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2016 - May 2016
    Area covered
    Denmark
    Description

    This statistic displays the results of a survey on the most important news media in Denmark in 2016. During the survey period, 41.7 percent of the Danish respondents considered television to be their most important news medium.

  13. Enterprise Survey 2019 - Haiti

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated Aug 6, 2020
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    World Bank Group (2020). Enterprise Survey 2019 - Haiti [Dataset]. https://microdata.worldbank.org/index.php/catalog/3756
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    Dataset updated
    Aug 6, 2020
    Dataset provided by
    World Bankhttp://worldbank.org/
    World Bank Grouphttp://www.worldbank.org/
    Authors
    World Bank Group
    Time period covered
    2019
    Area covered
    Haiti
    Description

    Abstract

    This research was conducted in Haiti in October 2019, as part of the of the Enterprise Survey. The objective of the study is to obtain feedback from enterprises in client countries on the state of the private sector. The research is also used to build a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through face-to-face interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

    In Haiti, data from 149 establishments were taken from listings from three sources: UNOPS 2018, UNICEF 2018, and Haiti Business Database 2018. The survey topics include firm characteristics, infrastructure and services, sales and supplies, management practices, degree of competition, innovation, land and permits, crime, finance, mobile money, insurance, business-government relations, labor, business environment, performance, and post-interview information.

    Geographic coverage

    The entire sample is composed of four communes in Port-au-Prince Arrondissement: - Port-au-Prince commune - Delmas commune - Peiton-Ville commune - Tabarre commune

    Because of safety concerns on the ground or during transit, the following communes in Port-au-Prince Arrondissement were excluded from the sample: - Carrefour - Cite Soleil - Gressier - Kenscoff

    Analysis unit

    The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

    Universe

    Following the standard methodological approach, the sample is comprised of businesses that employ 5 or more employees and have at least some private ownership. However, departing from the global methodology, some businesses in the professional and support services activities which are not part of the standard Universe of Inference of the ES were included in the Haiti survey.

    Kind of data

    Sample survey data[ssd]

    Sampling procedure

    Attempts were made to obtain quality sampling frames. However due to the lack of reliable data, the sample frame was limited to listings of firms from three sources: UNOPS 2018, UNICEF 2018, and Haiti Business Database 2018. In addition, corrections to the sampling frame were made as interviewers were in the field and new businesses were found.

    The entire sample is composed of four communes in Port-au-Prince Arrondissement: - Port-au-Prince commune - where fieldwork was determined depending on the day and level of violence on that particular day. - Delmas commune - where fieldwork was determined depending on the day and level of violence on that particular day. - Peiton-Ville commune - which is considered one of the wealthier communes; fieldwork was conducted during the mornings before protesters make their way there. - Tabarre commune - which was comparatively safer when no protests were planned.

    The sampling strategy from the onset began by mapping the locations of the firms in the sampling frame and determining the safety situation. As safety windows appeared, interviewers would go to areas and try to screen and conduct the interview in the business. A total of 149 firms were interviewed.

    Mode of data collection

    Face-to-Face[f2f]

    Research instrument

    Two questionnaires - Manufacturing amd Services were used to collect the survey data.

    The Questionnaires have common questions (core module) and respectfully additional manufacturing- and services-specific questions. The eligible manufacturing industries have been surveyed using the Manufacturing questionnaire (includes the core module, plus manufacturing specific questions). Retail firms have been interviewed using the Services questionnaire (includes the core module plus retail specific questions) and the residual eligible services have been covered using the Services questionnaire (includes the core module).

  14. BLM National PLSS Public Land Survey System Polygons

    • catalog.data.gov
    • gimi9.com
    • +2more
    Updated Jun 18, 2025
    + more versions
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    Bureau of Land Management (2025). BLM National PLSS Public Land Survey System Polygons [Dataset]. https://catalog.data.gov/dataset/blm-natl-plss-public-land-survey-system-polygons-national-geospatial-data-asset-ngda
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    Dataset updated
    Jun 18, 2025
    Dataset provided by
    Bureau of Land Managementhttp://www.blm.gov/
    Description

    This dataset represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular surveys. The primary source for the data is cadastral survey records housed by the BLM supplemented with local records and geographic control coordinates from states, counties as well as other federal agencies such as the USGS and USFS. The data has been converted from source documents to digital form and transferred into a GIS format that is compliant with FGDC Cadastral Data Content Standards and Guidelines for publication. This data is optimized for data publication and sharing rather than for specific 'production' or operation and maintenance. This data set includes the following: PLSS Fully Intersected (all of the PLSS feature at the atomic or smallest polygon level), PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys), and the Bureau of Census 2015 Cartographic State Boundaries. The Entity-Attribute section of this metadata describes these components in greater detail. Please note that the data on this site, although published at regular intervals, may not be the most current PLSS data that is available from the BLM. Updates to the PLSS data at the BLM State Offices may have occurred since this data was published. To ensure users have the most current data, please contact the BLM PLSS Data Set Manager.

  15. BLM AK PLSS Special Survey

    • catalog.data.gov
    Updated Apr 26, 2025
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    Bureau of Land Management (2025). BLM AK PLSS Special Survey [Dataset]. https://catalog.data.gov/dataset/blm-ak-plss-special-survey
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    Dataset updated
    Apr 26, 2025
    Dataset provided by
    Bureau of Land Managementhttp://www.blm.gov/
    Description

    BLM Alaska PLSS Intersected: This dataset represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular surveys. The primary source for the data is cadastral survey records housed by the BLM supplemented with local records and geographic control coordinates from states, counties as well as other federal agencies such as the USGS and USFS. The data has been converted from source documents to digital form and transferred into a GIS format that is compliant with FGDC Cadastral Data Content Standards and Guidelines for publication. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. This data set includes the following: PLSS Fully Intersected (all of the PLSS feature at the atomic or smallest polygon level), PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non rectangular components of the PLSS) Meandered Water, Corners and Conflicted Areas (known areas of gaps or overlaps between Townships or state boundaries). The Entity-Attribute section of this metadata describes these components in greater detail.

  16. National Survey of College Graduates

    • catalog.data.gov
    Updated Mar 5, 2022
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    National Center for Science and Engineering Statistics (2022). National Survey of College Graduates [Dataset]. https://catalog.data.gov/dataset/national-survey-of-college-graduates
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    Dataset updated
    Mar 5, 2022
    Dataset provided by
    National Center for Science and Engineering Statisticshttp://ncses.nsf.gov/
    Description

    The National Survey of College Graduates is a repeated cross-sectional biennial survey that provides data on the nation's college graduates, with a focus on those in the science and engineering workforce. This survey is a unique source for examining the relationship of degree field and occupation in addition to other characteristics of college-educated individuals, including work activities, salary, and demographic information.

  17. H02135: NOS Hydrographic Survey

    • catalog.data.gov
    • datadiscoverystudio.org
    • +1more
    Updated Jul 7, 2023
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    DOC/NOAA/NOS/OCS/HSD > Hydrographic Surveys Division, Office of Coast Survey, National Ocean Service, NOAA, U.S. Department of Commerce (Point of Contact) (2023). H02135: NOS Hydrographic Survey [Dataset]. https://catalog.data.gov/dataset/h02135-nos-hydrographic-survey
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    Dataset updated
    Jul 7, 2023
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    United States Department of Commercehttp://www.commerce.gov/
    National Ocean Servicehttps://oceanservice.noaa.gov/
    Description

    The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

  18. H01142: NOS Hydrographic Survey , 1871-12-31

    • catalog.data.gov
    • gimi9.com
    Updated Oct 19, 2024
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    DOC/NOAA/NOS/OCS/HSD > Hydrographic Surveys Division, Office of Coast Survey, National Ocean Service, NOAA, U.S. Department of Commerce (Point of Contact) (2024). H01142: NOS Hydrographic Survey , 1871-12-31 [Dataset]. https://catalog.data.gov/dataset/h01142-nos-hydrographic-survey-1871-12-312
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    Dataset updated
    Oct 19, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    United States Department of Commercehttp://www.commerce.gov/
    National Ocean Servicehttps://oceanservice.noaa.gov/
    Description

    The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

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Statista (2025). U.S. most important issues 2025 [Dataset]. https://www.statista.com/statistics/1362236/most-important-voter-issues-us/
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U.S. most important issues 2025

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Dataset updated
Jun 24, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Feb 16, 2025 - Feb 18, 2025
Area covered
United States
Description

A survey conducted in February 2025 found that the most important issue for ** percent of Americans was inflation and prices. A further ** percent of respondents were most concerned about jobs and the economy.

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