6 datasets found
  1. T

    Eggs US - Price Data

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 21, 2025
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    TRADING ECONOMICS (2025). Eggs US - Price Data [Dataset]. https://tradingeconomics.com/commodity/eggs-us
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Jun 21, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    May 25, 2012 - Jul 11, 2025
    Area covered
    World, United States
    Description

    Eggs US rose to 2.70 USD/Dozen on July 11, 2025, up 1.13% from the previous day. Over the past month, Eggs US's price has risen 1.47%, and is up 15.69% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Eggs US.

  2. F

    Average Price: Eggs, Grade A, Large (Cost per Dozen) in U.S. City Average

    • fred.stlouisfed.org
    json
    Updated Jun 11, 2025
    + more versions
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    (2025). Average Price: Eggs, Grade A, Large (Cost per Dozen) in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/APU0000708111
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 11, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Large white, Grade A chicken eggs, sold in a carton of a dozen. Includes organic, non-organic, cage free, free range, and traditional."

  3. F

    Average Price: Eggs, Grade A, Large (Cost per Dozen) in the Midwest Census...

    • fred.stlouisfed.org
    json
    Updated Jun 11, 2025
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    (2025). Average Price: Eggs, Grade A, Large (Cost per Dozen) in the Midwest Census Region - Urban [Dataset]. https://fred.stlouisfed.org/series/APU0200708111
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    jsonAvailable download formats
    Dataset updated
    Jun 11, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Large white, Grade A chicken eggs, sold in a carton of a dozen. Includes organic, non-organic, cage free, free range, and traditional."

  4. Monthly average retail prices for selected products

    • www150.statcan.gc.ca
    • datasets.ai
    • +2more
    Updated Jul 2, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Monthly average retail prices for selected products [Dataset]. http://doi.org/10.25318/1810024501-eng
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    Dataset updated
    Jul 2, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Monthly average retail prices for selected products, for Canada and provinces. Prices are presented for the current month and the previous four months. Prices are based on transaction data from Canadian retailers, and are presented in Canadian current dollars.

  5. o

    Data from: Evaluation of a low-cost staining method for improved...

    • explore.openaire.eu
    • data.niaid.nih.gov
    • +1more
    Updated Jun 4, 2024
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    Benjamin van Raalte; Kristal Watrous; Miguel Lujan; Ricky Le; Penglin Sun; Benjamin Ellis; Kerry Mauck (2024). Data from: Evaluation of a low-cost staining method for improved visualization of sweet potato whitefly (Bemisia tabaci) eggs on multiple crop plant species [Dataset]. http://doi.org/10.5061/dryad.vmcvdnd1m
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    Dataset updated
    Jun 4, 2024
    Authors
    Benjamin van Raalte; Kristal Watrous; Miguel Lujan; Ricky Le; Penglin Sun; Benjamin Ellis; Kerry Mauck
    Description

    Evaluation of a Low-Cost Staining Method for Improved Visualization of Sweet Potato Whitefly (Bemisia tabaci) Eggs on Multiple Crop Plant Species Dryad DOI: https://doi.org/10.5061/dryad.vmcvdnd1m Article DOI: https://doi.org/10.1186%2Fs13007-024-01209-z This data was collected to analyze the ease of counting whitefly (Bemisia tabaci MEAM1) eggs on cassava, cowpea, melon, tomato, and sweet potato before and after a selective egg staining process. Five female whiteflies were confined in clip cages to a small section of the underside of each leaf for four days to allow them to oviposit. Then the leaf was removed from the plant, whiteflies were removed from the clip cage, and the area of leaf where the clip cage was attached was cut out using a round cookie cutter. The whitefly eggs on the leaf disc were then counted by two individuals using a stereo microscope, these are the "unstained counts". Whitefly eggs were then stained by submerging the leaf discs in McBryde’s stain (acetic acid, ethanol, 0.2% aqueous acid Fuchsin, water; 20:19:2:1) for three days, and then clearing under heat and pressure for 15 min in clearing solution (LGW; lactic acid, glycerol, water; 17:20:23). The whitefly eggs on the stained and cleared leaf disc were then counted by the same two individuals using a stereo microscope, these are the "stained counts". Counting time for each leaf disc was also recorded to help analyze the labor requirements of this process. Datasets contain stained and unstained egg counts for "counter one" (BVR) and "counter two" (RL). The counting time in minutes and seconds is also included. For some datasets where surfactants were tested, the number of bubbles on the leaf disc after staining was also recorded. The data here includes egg counts both before and after staining for each crop species and each counting individual. An R script and R Markdown document are also included. This data and code together allow for replication of all analyses performed for the associated publication in Plant Methods. Whitefly survival data ("whitefly_checks") is also included here and can be used to determine oviposition rates for these crops. ## Description of the data and file structure ### RMarkdown file The final RMarkdown (.Rmd) file used for analysis while writing the manuscript is included for reference (generated on 12 December, 2023). ### Egg count data The included datasets are labeled as: egg_counts_stain_unstain_"crop"_"replicate number".csv. The replicate number is an internal identifier based on how many total experiments have been conducted on that crop, and are not relevant to this analysis. These datasets contain the following headings:\ leaf_num = the ID number assigned to each leaf species = crop species stained = "yes" or "no" for if this count is taking place before ("no") or after ("yes") staining surfactant = optional descriptor included if a surfactant was tested on the stained leaves counter = counter one is Ben van Raalte (BVR), counter two is Ricky Le (RL) count_date = date that the egg counting took place egg_count = counted number of whitefly eggs time_m = minutes of counting (sum with time_s to get the total counting time) time_s = seconds of counting bubbles = number of bubbles counted on the leaf disc. This was only included for some of the experiments where surfactants were tested. Number of bubbles also only applies for stained leaf discs; for unstained leaf discs, "NA" is included to represent "not applicable". For stained leaf discs where the number of bubbles was not counted, "NR" is included to represent "not recorded". notes = other relevant information collected. If there are no notes for a counted leaf disc, "NA" is included in under the notes ### Whitefly survival data Whitefly survival information is not required for analysis of the egg staining method. These datasets are included because they allow calculation of oviposition rate in terms of whitefly eggs per female whitefly per day. This information could be useful for anyone replicating this method for whitefly resistance phenotyping application, as these experiments can provide a baseline oviposition rate for each of the crops used in these experiments. These datasets are labeled as: wf_checks_"crop"_"replicate number".csv. If there are no notes, "NA" is included. ## Sharing/Access information The manuscript associated with this data is available in the journal Plant Methods. ## Code/Software The file "combining_crops_stainunstain_analysis.R" is used to source and format all the data sets used in this analysis. All analyses were performed in R using an RMarkdown file for data handling, analysis, and figure creation. This code was run on 19 May 2024 and confirmed to function using "R version 4.4.0 (2024-04-24)" for Apple "aarch64-apple-darwin20" platform. An Apple MacBook Air (M1, 2020) with 16 GB of memory running macOS Monterey...

  6. Latest agricultural price indices

    • gov.uk
    • s3.amazonaws.com
    Updated Jun 26, 2025
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    Department for Environment, Food & Rural Affairs (2025). Latest agricultural price indices [Dataset]. https://www.gov.uk/government/statistics/agricultural-price-indices
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    Dataset updated
    Jun 26, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Environment, Food & Rural Affairs
    Description

    The Agricultural Price Index (API) is a monthly publication that measures the price changes in agricultural outputs and inputs for the UK. The output series reflects the price farmers receive for their products (referred to as the farm-gate price). Information is collected for all major crops (for example wheat and potatoes) and on livestock and livestock products (for example sheep, milk and eggs). The input series reflects the price farmers pay for goods and services. This is split into two groups: goods and services currently consumed; and goods and services contributing to investment. Goods and services currently consumed refer to items that are used up in the production process, for example fertiliser, or seed. Goods and services contributing to investment relate to items that are required but not consumed in the production process, such as tractors or buildings.

    A price index is a way of measuring relative price changes compared to a reference point or base year which is given a value of 100. The year used as the base year needs to be updated over time to reflect changing market trends. The latest data are presented with a base year of 2020 = 100. To maintain continuity with the current API time series, the UK continues to use standardised methodology adopted across the EU. Details of this internationally recognised methodology are described in the https://ec.europa.eu/eurostat/web/products-manuals-and-guidelines/-/ks-bh-02-003" class="govuk-link">Handbook for EU agricultural price statistics.
    Please note: The historical time series with base years 2000 = 100, 2005 = 100, 2010 = 100 and 2015 = 100 are not updated monthly and presented for archive purposes only. Each file gives the date the series was last updated.

    For those commodities where farm-gate prices are currently unavailable we use the best proxy data that are available (for example wholesale prices). Similarly, calculations are based on UK prices where possible but sometimes we cannot obtain these. In such cases prices for Great Britain, England and Wales or England are used instead.

    Next update: see the statistics release calendar.

    Defra statistics: prices

    Email mailto:prices@defra.gov.uk">prices@defra.gov.uk

    <p class="govuk-body">You can also contact us via Twitter: <a href="https://twitter.com/DefraStats" class="govuk-link">https://twitter.com/DefraStats</a></p>
    

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TRADING ECONOMICS (2025). Eggs US - Price Data [Dataset]. https://tradingeconomics.com/commodity/eggs-us

Eggs US - Price Data

Eggs US - Historical Dataset (2012-05-25/2025-07-11)

Explore at:
excel, csv, xml, jsonAvailable download formats
Dataset updated
Jun 21, 2025
Dataset authored and provided by
TRADING ECONOMICS
License

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

Time period covered
May 25, 2012 - Jul 11, 2025
Area covered
World, United States
Description

Eggs US rose to 2.70 USD/Dozen on July 11, 2025, up 1.13% from the previous day. Over the past month, Eggs US's price has risen 1.47%, and is up 15.69% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Eggs US.

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