100+ datasets found
  1. Travel Monitoring Analysis System Stations Table

    • catalog.data.gov
    • geodata.bts.gov
    • +2more
    Updated Aug 21, 2024
    + more versions
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    Federal Highway Administration (FHWA) (Point of Contact) (2024). Travel Monitoring Analysis System Stations Table [Dataset]. https://catalog.data.gov/dataset/travel-monitoring-analysis-system-stations-table1
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    Dataset updated
    Aug 21, 2024
    Dataset provided by
    Federal Highway Administrationhttps://highways.dot.gov/
    Description

    The Travel Monitoring Analysis System (TMAS) - Stations Table dataset was compiled on December 31, 2023 and was published on July 16, 2024 from the Federal Highway Administration (FHWA), and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The data included in this table have been collected by the FHWA from State DOTs through 24/7 permanent count data. The attributes are used by FHWA for its Travel Monitoring Analysis System and external agencies and have been intentionally limited to location referencing attributes since the core station description attribute data are contained within TMAS. The attributes in the Station data correspond with the Station file format found in Chapter 6 of the 2001 Traffic Monitoring Guide (https://doi.org/10.21949/1519109).

  2. D

    Dining Room Table Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Feb 15, 2025
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    Data Insights Market (2025). Dining Room Table Report [Dataset]. https://www.datainsightsmarket.com/reports/dining-room-table-1875438
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Feb 15, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global dining room table market was valued at USD 15.23 billion in 2023 and is projected to grow at a CAGR of 3.57% from 2023 to 2033. The growth is attributed to factors such as increasing disposable income, rising urbanization, and changing lifestyles. Key market players include Bon Chef, John Boos, Maywood, Eagle Group, Emuamericas, Lakeside Manufacturing, Royal Industries, Roche Bobois, Kartell, Poliform, IKEA, Qumei, and Niermann Weeks. The market is segmented into household, office, restaurant, and hotel applications. Household applications account for the majority of the market share, while office applications are expected to grow at the highest CAGR during the forecast period. Key trends in the market include the adoption of smart dining room tables and the growing popularity of multi-functional furniture.

  3. d

    Adoption and Foster Care Analysis and Reporting System Trends Chart and...

    • catalog.data.gov
    • healthdata.gov
    • +1more
    Updated Jul 26, 2023
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    Administration for Children and Families (2023). Adoption and Foster Care Analysis and Reporting System Trends Chart and Table [Dataset]. https://catalog.data.gov/dataset/adoption-and-foster-care-analysis-and-reporting-system-trends-chart-and-table
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    Dataset updated
    Jul 26, 2023
    Dataset provided by
    Administration for Children and Families
    Description

    The AFCARS Trends Chart tracks children in Foster Care from FY 2002 through the most recent year. A table of data and a graphic depiction of trends are shown for children in care on the first day of the year, entries to foster care, exits, children waiting to be adopted, children adopted, children with terminations of parental rights, and total children served in foster care.

  4. Global Electric Operating Tables Market Size By Product, By Application, By...

    • verifiedmarketresearch.com
    Updated Jul 2, 2023
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    VERIFIED MARKET RESEARCH (2023). Global Electric Operating Tables Market Size By Product, By Application, By Geographic Scope and Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/electric-operating-tables-market/
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    Dataset updated
    Jul 2, 2023
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Electric Operating Tables Market size was valued at USD 3.75 Billion in 2024 and is projected to reach USD 6.89 Billion by 2031, growing at a CAGR of 4.57 % during the forecast period 2024-2031.

    Global Electric Operating Tables Market Drivers

    Technological Advancements in Surgical Equipment: One of the primary drivers of the Electric Operating Tables Market is the continuous advancement in medical technology. Electric operating tables provide a range of features, such as adjustable height, tilt, and backrest positions, which are critical for improving surgical precision and patient comfort. These tables offer better control over patient positioning, which is essential for a wide variety of surgeries, including orthopedic, spinal, and neuro surgeries. The integration of advanced technologies such as electronic controls, motorized adjustments, and the ability to memorize specific positions for different types of surgeries has made electric operating tables a preferred choice for modern operating rooms.

    Increased Demand for Minimally Invasive Surgeries: As the healthcare industry shifts toward minimally invasive surgery (MIS) techniques, the demand for electric operating tables has risen. MIS procedures, which require precise patient positioning and more flexible table configurations, are increasingly being performed due to their benefits, including smaller incisions, faster recovery times, and less post-operative pain. Electric operating tables, with their adjustable features, support optimal positioning during MIS procedures, making them indispensable in the modern operating theater. The trend toward minimally invasive surgeries is expected to continue growing, driving the demand for more advanced surgical tables.

  5. 2010-2014 ACS Children by Parental Labor Force Participation Variables -...

    • hub.arcgis.com
    • mapdirect-fdep.opendata.arcgis.com
    Updated Nov 18, 2020
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    Esri (2020). 2010-2014 ACS Children by Parental Labor Force Participation Variables - Boundaries [Dataset]. https://hub.arcgis.com/maps/feea68d7d0c4457aa7adfa10c180802a
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    Dataset updated
    Nov 18, 2020
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This layer contains 2010-2014 American Community Survey (ACS) 5-year data, and contains estimates and margins of error. The layer shows children by age group by parents' labor force participation. This is shown by tract, county, and state boundaries. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.This layer is symbolized to show the percent of children with no available (residential) parent in the labor force. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Vintage: 2010-2014ACS Table(s): B23008 Data downloaded from: Census Bureau's API for American Community Survey Date of API call: November 11, 2020National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer has associated layers containing the most recent ACS data available by the U.S. Census Bureau. Click here to learn more about ACS data releases and click here for the associated boundaries layer. The reason this data is 5+ years different from the most recent vintage is due to the overlapping of survey years. It is recommended by the U.S. Census Bureau to compare non-overlapping datasets.Boundaries come from the US Census TIGER geodatabases. Boundary vintage (2014) appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

  6. s

    GloSAT Historical Measurement Table Dataset

    • eprints.soton.ac.uk
    • data.niaid.nih.gov
    • +1more
    Updated Sep 3, 2021
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    Middleton, Stuart; Ziomek, Juliusz (2021). GloSAT Historical Measurement Table Dataset [Dataset]. http://doi.org/10.5281/zenodo.5363457
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    Dataset updated
    Sep 3, 2021
    Dataset provided by
    University of Southampton
    Authors
    Middleton, Stuart; Ziomek, Juliusz
    Description

    Dataset containing scanned historical measurement table documents from ship logs and land measurement stations. Annotations provided in this dataset are designed to allow finergrained table detection and table structure recognition models to be trained and tested. Annotations are region boundaries for tables, cells, headings, headers and captions. This dataset release includes code to train models on a training split, to use trained model checkpoints for inference and to evaluate interred results on a test split. Pretrained models used in the published HIP-2021 paper are included in the dataset so results can be easily reproduced without training the model checkpoints yourself. Instructions and code can be found on the linked github repository https://github.com/stuartemiddleton/glosat_table_dataset A pre-print of the HIP-2021 paper can be found on the authors website https://www.southampton.ac.uk/~sem03/HIP_2021.pdf Original images sourced with permission from UK Met Office, US NOAA and weatheerrescue.org (University of Reading). This work is part of the GloSAT project https://www.glosat.org/ and supported by the Natural Environment Research Council (NE/S015604/1). The authors acknowledge the use of the IRIDIS High Performance Computing Facility, and associated support services at the University of Southampton, in the completion of this work.

  7. Table And Floor Lamps Market Size & Share Analysis - Industry Research...

    • mordorintelligence.com
    pdf,excel,csv,ppt
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    Mordor Intelligence, Table And Floor Lamps Market Size & Share Analysis - Industry Research Report - Growth Trends [Dataset]. https://www.mordorintelligence.com/industry-reports/table-and-floor-lamps-market
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    pdf,excel,csv,pptAvailable download formats
    Dataset authored and provided by
    Mordor Intelligence
    License

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

    Time period covered
    2020 - 2030
    Area covered
    Global
    Description

    The Table And Floor Lamps Market is Segmented By Product Type (Table Lamps and Floor Lamps), By Application (Residential and Commercial), and By Geography (North America, Europe, Asia-Pacific, Latin America, and Middle-East and Africa). The report offers market size and values in (USD) during the forecast period for the above segments.

  8. Dining Tables Market Size & Share Analysis - Industry Research Report -...

    • mordorintelligence.com
    pdf,excel,csv,ppt
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    Mordor Intelligence, Dining Tables Market Size & Share Analysis - Industry Research Report - Growth Trends [Dataset]. https://www.mordorintelligence.com/industry-reports/dining-tables-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset authored and provided by
    Mordor Intelligence
    License

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

    Time period covered
    2020 - 2030
    Area covered
    Global
    Description

    The Dining Tables Market is Segmented by Material (Wood, Metal, Plastic, Others), By Shape (Rectangular, Square, Round, Oval), By Application (Residential, Food Services, Others), By Geography (North America, Europe, Asia-pacific, Latin America, Middle East & Africa). The report offers Market size and forecasts for the Dining Tables Market in terms of revenue (USD) for all the above segments.

  9. Snooker Table Market Analysis Europe, North America, APAC, South America,...

    • technavio.com
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    Snooker Table Market Analysis Europe, North America, APAC, South America, Middle East and Africa - US, China, UK, France, Germany - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/snooker-table-market-industry-analysis
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    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Germany, United States, United Kingdom, Global
    Description

    Snapshot img

    Snooker Table Market Size 2024-2028

    The snooker table market size is forecast to increase by USD 31.8 million at a CAGR of 2.8% between 2023 and 2028.

    The market is experiencing significant growth due to the increasing popularity of indoor recreational sports. With more individuals seeking entertainment options at home, the demand for snooker tables has surged. Furthermore, the rise of e-commerce platforms has facilitated the online sales of snooker tables and related equipment, expanding market reach. However, the market faces challenges such as fluctuating raw material prices and transportation costs, which can impact manufacturers' profitability. To mitigate these challenges, companies are focusing on cost optimization strategies, including sourcing raw materials from reliable suppliers and implementing efficient logistics networks. Overall, the market is poised for growth, driven by consumer preferences for indoor recreation and the convenience of online sales.

    What will be the Size of the Snooker Table Market During the Forecast Period?

    Request Free SampleThe market encompasses the production and sale of cue sports equipment, primarily focusing on full-size and mini snooker tables, billiard boards, cue sticks, balls, and accessories. Quarried slate and worsted wool are common materials used in manufacturing high-quality snooker tables, while vulcanized rubber cushions ensure optimal ball bounce. The market caters to various sectors, including snooker clubs, leisure activities, educational institutions, and home recreation. Snooker and billiards, collectively known as cue sports, have gained significant popularity worldwide as a social and competitive pastime. The point system and muscle memory required for pocketing balls appeal to both casual players and seasoned professionals.E-commerce platforms and sports bars have made snooker tables accessible to a wider audience, while recreational centers, hotels, and grassroots programs provide training facilities for aspiring players. The market continues to grow, driven by increasing sports participation and the ongoing evolution of cue sports as a popular leisure activity.

    How is this Snooker Table Industry segmented and which is the largest segment?

    The snooker table industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. ApplicationIndoor gamesSports eventsGeographyEuropeGermanyUKFranceNorth AmericaUSAPACChinaSouth AmericaMiddle East and Africa

    By Application Insights

    The indoor games segment is estimated to witness significant growth during the forecast period.
    

    Snooker tables, a popular variant of billiards, are primarily used for indoor leisure activities. These tables are found in homes, educational institutions, snooker clubs, and recreational centers. Corporate offices also incorporate snooker tables as a recreational facility for employees. The standard indoor snooker table measures around 12 ft x 6 ft, with a playing surface of approximately 11 ft x 5 ft. companies provide smaller versions, measuring around 4 ft x 2 ft, for compact spaces. Indoor snooker tables consist of essential components, including pockets, a rail system, an apron system, a playing surface, a frame, base frame, and leg assembly.Snooker enthusiasts utilize cue sticks to hit the balls into pockets based on a point system. The game involves red balls and requires muscle memory and training facilities. Snooker tables are available in various sizes and structures, including convertible versions and outdoor weatherproof models. Online marketing and sales platforms offer easy access to these tables for home recreation and automotive applications. Sports specialists, sports participation programs, sports bars, recreational centers, hotels, and grassroots initiatives also utilize snooker tables. World Disability Snooker Championships and other snooker championships promote the game's popularity and inclusivity.

    Get a glance at the Snooker Table Industry report of share of various segments Request Free Sample

    The Indoor games segment was valued at USD 115.80 million in 2018 and showed a gradual increase during the forecast period.

    Regional Analysis

    Europe is estimated to contribute 39% to the growth of the global market during the forecast period.
    

    Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

    For more insights on the market share of various regions, Request Free Sample

    Snooker, a popular cue sport, is widely played in Europe as a leisure activity. Countless snooker clubs and billiard parlors cater to enthusiasts in countries such as the UK, France, Germany, and Italy. Snooker tables, featuring quarry slate s

  10. d

    (Table 5) Analysis data for elemental distribution within detrital feldspar...

    • search.dataone.org
    • doi.pangaea.de
    Updated Apr 18, 2018
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    Bhattacharya, Harendra Nath; Bandyopadhyay, Sandip (2018). (Table 5) Analysis data for elemental distribution within detrital feldspar and feldspar overgrowth [Dataset]. http://doi.org/10.1594/PANGAEA.885164
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    Dataset updated
    Apr 18, 2018
    Dataset provided by
    PANGAEA Data Publisher for Earth and Environmental Science
    Authors
    Bhattacharya, Harendra Nath; Bandyopadhyay, Sandip
    Area covered
    Description

    No description is available. Visit https://dataone.org/datasets/0a111a16010fc1ae898ddb57a31bc0c8 for complete metadata about this dataset.

  11. A

    ‘Avocado Prices’ 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). ‘Avocado Prices’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-avocado-prices-3f64/94480f27/?iid=007-438&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 ‘Avocado Prices’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/neuromusic/avocado-prices on 28 January 2022.

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

    Context

    It is a well known fact that Millenials LOVE Avocado Toast. It's also a well known fact that all Millenials live in their parents basements.

    Clearly, they aren't buying home because they are buying too much Avocado Toast!

    But maybe there's hope... if a Millenial could find a city with cheap avocados, they could live out the Millenial American Dream.

    Content

    This data was downloaded from the Hass Avocado Board website in May of 2018 & compiled into a single CSV. Here's how the Hass Avocado Board describes the data on their website:

    The table below represents weekly 2018 retail scan data for National retail volume (units) and price. Retail scan data comes directly from retailers’ cash registers based on actual retail sales of Hass avocados. Starting in 2013, the table below reflects an expanded, multi-outlet retail data set. Multi-outlet reporting includes an aggregation of the following channels: grocery, mass, club, drug, dollar and military. The Average Price (of avocados) in the table reflects a per unit (per avocado) cost, even when multiple units (avocados) are sold in bags. The Product Lookup codes (PLU’s) in the table are only for Hass avocados. Other varieties of avocados (e.g. greenskins) are not included in this table.

    Some relevant columns in the dataset:

    • Date - The date of the observation
    • AveragePrice - the average price of a single avocado
    • type - conventional or organic
    • year - the year
    • Region - the city or region of the observation
    • Total Volume - Total number of avocados sold
    • 4046 - Total number of avocados with PLU 4046 sold
    • 4225 - Total number of avocados with PLU 4225 sold
    • 4770 - Total number of avocados with PLU 4770 sold

    Acknowledgements

    Many thanks to the Hass Avocado Board for sharing this data!!

    http://www.hassavocadoboard.com/retail/volume-and-price-data

    Inspiration

    In which cities can millenials have their avocado toast AND buy a home?

    Was the Avocadopocalypse of 2017 real?

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

  12. Data from: (Table A) Results of inter-depositional environment analysis

    • doi.pangaea.de
    • search.dataone.org
    html, tsv
    Updated 1998
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    Ben A van der Pluijm; Leah H Joseph; David K Rea (1998). (Table A) Results of inter-depositional environment analysis [Dataset]. http://doi.org/10.1594/PANGAEA.857861
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    tsv, htmlAvailable download formats
    Dataset updated
    1998
    Dataset provided by
    PANGAEA
    Authors
    Ben A van der Pluijm; Leah H Joseph; David K Rea
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Time period covered
    Oct 6, 1982 - Oct 1, 1987
    Area covered
    Variables measured
    Size, Environment, Event label, Depth, top/min, Sample comment, Depth, bottom/max, Latitude of event, Elevation of event, Longitude of event, Standard deviation, and 4 more
    Description

    This dataset is about: (Table A) Results of inter-depositional environment analysis. Please consult parent dataset @ https://doi.org/10.1594/PANGAEA.857863 for more information.

  13. d

    Statistical analysis table of public institutions using non-public land...

    • data.gov.tw
    csv
    Updated Mar 18, 2025
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    National Property Administration,Ministry of Finance (2025). Statistical analysis table of public institutions using non-public land owned by the state [Dataset]. https://data.gov.tw/en/datasets/30577
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    csvAvailable download formats
    Dataset updated
    Mar 18, 2025
    Dataset provided by
    National Property Administrationhttps://www.fnp.gov.tw/fnpen
    Authors
    National Property Administration,Ministry of Finance
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    December, 111th year..............................

  14. Table 13.8 Identified personal wealth: analysis by decile

    • gov.uk
    Updated Jan 31, 2019
    + more versions
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    HM Revenue & Customs (2019). Table 13.8 Identified personal wealth: analysis by decile [Dataset]. https://www.gov.uk/government/statistics/table-138-identified-personal-wealth-analysis-by-decile
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    Dataset updated
    Jan 31, 2019
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Revenue & Customs
    Description

    “Identified wealth” is the wealth represented by estates passing on death each year and requiring a grant of representation, grossed up to reflect the living population using mortality rates. Not all estates require a grant of representation, and hence the figures given in this table do not represent the entire population. The “identified wealth” population for 2014 to 2016 was 27% (14.072 million) of the average UK adult population.

  15. N

    Table Rock, NE Annual Population and Growth Analysis Dataset: A...

    • neilsberg.com
    csv, json
    Updated Jul 30, 2024
    + more versions
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    Neilsberg Research (2024). Table Rock, NE Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Table Rock from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/insights/table-rock-ne-population-by-year/
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    json, csvAvailable download formats
    Dataset updated
    Jul 30, 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
    Table Rock, Nebraska
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2023, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2023. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2023. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Table Rock population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Table Rock across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2023, the population of Table Rock was 234, a 0.43% decrease year-by-year from 2022. Previously, in 2022, Table Rock population was 235, a decline of 0.42% compared to a population of 236 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Table Rock decreased by 29. In this period, the peak population was 272 in the year 2011. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2023

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2023)
    • Population: The population for the specific year for the Table Rock is shown in this column.
    • Year on Year Change: This column displays the change in Table Rock population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    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 Table Rock Population by Year. You can refer the same here

  16. d

    Data from: Table D.11: Microprobe analysis of plagioclase and K-feldspar...

    • search.dataone.org
    Updated Jan 30, 2018
    + more versions
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    Kleinefeld, Bärbel (2018). Table D.11: Microprobe analysis of plagioclase and K-feldspar from sample 2119 [Dataset]. https://search.dataone.org/view/8f0a1c7b465c809f736b1c2a3ed91b89
    Explore at:
    Dataset updated
    Jan 30, 2018
    Dataset provided by
    PANGAEA Data Publisher for Earth and Environmental Science
    Authors
    Kleinefeld, Bärbel
    Area covered
    Description

    No description is available. Visit https://dataone.org/datasets/8f0a1c7b465c809f736b1c2a3ed91b89 for complete metadata about this dataset.

  17. Data from: (Table 2) Pollen analysis of sediment core GIK16402-2

    • doi.pangaea.de
    • search.dataone.org
    html, tsv
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    Henry Hooghiemstra; A Bechler; Hans-Jürgen Beug, (Table 2) Pollen analysis of sediment core GIK16402-2 [Dataset]. http://doi.org/10.1594/PANGAEA.55247
    Explore at:
    html, tsvAvailable download formats
    Dataset provided by
    PANGAEA
    Authors
    Henry Hooghiemstra; A Bechler; Hans-Jürgen Beug
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Time period covered
    Jul 12, 1983
    Area covered
    Variables measured
    Olea, Alnus, Pinus, Rumex, Celtis, Cleome, Lannea, Uapaca, Borreria, Tribulus, and 49 more
    Description

    This dataset is about: (Table 2) Pollen analysis of sediment core GIK16402-2. Please consult parent dataset @ https://doi.org/10.1594/PANGAEA.692050 for more information.

  18. Spain Table Grape Market Size & Share Analysis - Industry Research Report -...

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Dec 16, 2024
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    Mordor Intelligence (2024). Spain Table Grape Market Size & Share Analysis - Industry Research Report - Growth Trends [Dataset]. https://www.mordorintelligence.com/industry-reports/spain-table-grape-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Dec 16, 2024
    Dataset authored and provided by
    Mordor Intelligence
    License

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

    Time period covered
    2019 - 2030
    Area covered
    Spain
    Description

    The Spain Table Grape Market Report is Segmented Into White (Green) Table Grapes, Black Table Grapes, and Red Table Grapes. The Market Analysis Includes Size and Forecasts for Each Segment, in Terms of Both Value in USD and Volume in Metric Tons.

  19. Statistical analysis table for declaration of total comprehensive tax income...

    • data.gov.tw
    csv
    Updated Aug 12, 2024
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    Fiscal Information Agency,Ministry of Finance (2024). Statistical analysis table for declaration of total comprehensive tax income at various levels (plus dividend income subject to separate taxation) [Dataset]. https://data.gov.tw/en/datasets/144528
    Explore at:
    csvAvailable download formats
    Dataset updated
    Aug 12, 2024
    Dataset provided by
    Fiscal Information Agencyhttps://www.fia.gov.tw/eng/
    Authors
    Fiscal Information Agency,Ministry of Finance
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Statistical analysis table for declaration of total comprehensive tax income at various levels (plus separately taxed dividend income) Unit: Amount (thousand yuan)

  20. Treasury centralized payment business - Statistical analysis table of...

    • data.gov.tw
    csv
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    National Treasury Administration, Ministry of Finance, Treasury centralized payment business - Statistical analysis table of historical treasury payments [Dataset]. https://data.gov.tw/en/datasets/12118
    Explore at:
    csvAvailable download formats
    Dataset provided by
    Ministry of Finance
    Authors
    National Treasury Administration, Ministry of Finance
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    According to the annual statistics of available funds, the number of payments, and the outstanding balance.

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Federal Highway Administration (FHWA) (Point of Contact) (2024). Travel Monitoring Analysis System Stations Table [Dataset]. https://catalog.data.gov/dataset/travel-monitoring-analysis-system-stations-table1
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Travel Monitoring Analysis System Stations Table

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Dataset updated
Aug 21, 2024
Dataset provided by
Federal Highway Administrationhttps://highways.dot.gov/
Description

The Travel Monitoring Analysis System (TMAS) - Stations Table dataset was compiled on December 31, 2023 and was published on July 16, 2024 from the Federal Highway Administration (FHWA), and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The data included in this table have been collected by the FHWA from State DOTs through 24/7 permanent count data. The attributes are used by FHWA for its Travel Monitoring Analysis System and external agencies and have been intentionally limited to location referencing attributes since the core station description attribute data are contained within TMAS. The attributes in the Station data correspond with the Station file format found in Chapter 6 of the 2001 Traffic Monitoring Guide (https://doi.org/10.21949/1519109).

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