Eggs US rose to 2.76 USD/Dozen on July 14, 2025, up 2.53% from the previous day. Over the past month, Eggs US's price has risen 3.05%, and is up 18.61% 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.

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

Eggs CH rose to 3,450 CNY/T on July 11, 2025, up 0.09% from the previous day. Over the past month, Eggs CH's price has risen 23.26%, but it is still 23.82% lower than a year ago, 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 CH.

This dataset includes data on China's egg market transaction prices from 2014-2021 and consists of 2 parts: (1) text data including the national egg market retail price statistics table (weekly), the national egg market wholesale price statistics table (daily), the national egg market wholesale price change information, the national and 12 provinces (autonomous regions and municipalities directly under the central government) monthly average wholesale prices and information on the rate of change; (2) picture data sets include monthly average wholesale prices and weekly retail prices and their rate of change line graphs for the national egg market from 2014-2021.

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

United States Wholesale Price: Eggs: Grade A: Large: New York data was reported at 5.330 USD/Dozen in Mar 2025. This records a decrease from the previous number of 8.198 USD/Dozen for Feb 2025. United States Wholesale Price: Eggs: Grade A: Large: New York data is updated monthly, averaging 1.075 USD/Dozen from Jan 2000 (Median) to Mar 2025, with 303 observations. The data reached an all-time high of 8.198 USD/Dozen in Feb 2025 and a record low of 0.533 USD/Dozen in May 2002. United States Wholesale Price: Eggs: Grade A: Large: New York data remains active status in CEIC and is reported by Economic Research Service. The data is categorized under Global Database’s United States – Table US.P004: Poultry and Egg Price.

In 2024, the retail price for a dozen eggs in the United States was **** U.S. dollars. Egg prices in the United States peaked in this year. Previously, the highest average price was in 2015, when a dozen eggs cost **** U.S. dollars on average. U.S. egg production The United States was one of the leading producers of eggs in the world in 2021, ranking fourth behind China, India, and Indonesia. In that year, approximately ***** billion eggs were produced in the United States. There are two main categories that farm chickens fall into: broiler chickens and laying hens. The first are raised for meat and the second are raised for laying eggs. The U.S. state with the most laying hens is Iowa, with about **** million in 2022. Some of the other top egg-producing states include Ohio, Indiana, and Pennsylvania. Egg retail in the United States Perhaps because eggs are uniform in taste and appearance, and most consumers cannot tell one brand of chicken egg apart from another, private label eggs have the highest sales among fresh egg brands in the United States. Eggland’s Best is the leading name brand of fresh eggs in the United States, with sales of ****** million U.S. dollars in 2023. The amount that U.S. consumer units spend on eggs varies from region to region. In 2021, consumers in the Western United States spent an average of about *** U.S. dollars on eggs over the course of the year. The Midwestern United States had the lowest average expenditure on eggs in that year.

This dataset collection contains information about the selling prices of eggs quoted by packing plants in Finland. The dataset tables are sourced from the website of the Natural Resources Institute Finland (Luke), which is the owner of the data. Luke is a research organization based in Finland. The collection provides valuable insights into the pricing trends of eggs in the Finnish market.

Note: Updates to this data product are discontinued. This data set provides farmgate and wholesale prices for select organic and conventional fruits and vegetables, wholesale prices for organic and conventional poultry (broilers) and eggs, as well as f.o.b. and spot prices for organic grain and feedstuffs. Prices are based on those reported by USDA Agricultural Marketing Service Market News, Organic Food Business News, and USDA National Agricultural Statistics Service.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Web page with links to Excel files For complete information, please visit https://data.gov.

China, as the world's leading producer and consumer of eggs, relies significantly on eggs as a primary protein source in the dietary structure of its residents. Understanding consumer preferences for eggs in China holds substantial practical significance. This research aims to comprehend the preferences of Chinese consumers regarding egg production methods, certification standards, and other related attributes. The objective is to provide precise market positioning strategies, scientific foundations, and guidance for policymaking and dietary health education initiatives. The survey design primarily utilizes a discrete choice experiment (DCE) approach, supplemented by the collection of data on respondents' relevant food safety knowledge and demographic variables. Ultimately, the research team collected 1085 samples from consumers across 30 provincial-level administrative regions through an online questionnaire platform, forming the 2020 dataset on Chinese consumers' egg preferences. This dataset comprehensively encompasses 13 aspects, including the frequency and sources of egg purchases, as well as preferences for egg prices, rearing methods, hen breeds, and food safety certification attributes during the egg consumption process. The research findings reveal distinct consumer preferences concerning egg production methods and certification standards. This dataset serves as foundational information for understanding residents' consumption habits and preferences, ensuring national food safety, guiding market strategies for food enterprises, and providing robust support for evidence-based policymaking by the government.

This release combines the UK egg packing station survey, the UK egg processor survey, the egg laying element of the UK hatcheries survey, together with other DEFRA statistics, Intrastat trade data and EU data. Source agency: Environment, Food and Rural Affairs Designation: National Statistics Language: English Alternative title: Egg Statistics Notice

If you require the data in a more accessible format, please contact julie.rumsey@defra.gsi.gov.uk

Data users: 1. The information in this notice is used by the UK government and the EU as evidence for assessing market conditions and evaluating agricultural policy. The farmgate price of UK eggs are required quarterly under Regulation EC 1165/2008 (Animal Production). 2. Representatives of the egg and poultry industry are also major users of the data. The data on egg production volumes and egg type are the key sector indicators for the British Egg Industry Council (BEIC) as they reflect the size of the national laying flock. The Home Grown Cereals Authority (HGCA), part of the Agricultural and Horticultural Development Board, rely on egg production data as a good indicator of the commercial layer flock and associated feed demand and hence grain usage by the sector. Our statistics are also often heavily referenced in industry publications such as “Poultry World”. Methodology: 3. Defra runs a quarterly survey of registered UK egg packing stations. It is a voluntary sample survey of 27 respondents that collects information on throughput by production type and prices of graded eggs and sales of ungraded eggs. The response rate is typically 100 per cent and the survey accounts for 75 per cent of eggs packed in the UK. The survey figures are raised up to give UK estimates using information on the number of commercial laying hens, average egg yields, average mortality rates, the proportion of UK eggs that go through packing stations. Throughput by egg type for packing stations not surveyed is calculated using data provided by packing stations responding to the survey. The raised figures are published in this statistics notice and the associated datasets. The figures in this notice therefore represent all Class A eggs passed over a grader in the UK, including seconds. The prices obtained on the survey are weighted according to the volume of eggs packed by each packing station to obtained average prices for the UK. From 2012, prices include any bonus payments paid to producers. The Egg Processor survey is a quarterly survey of all registered egg processors. It is a voluntary survey of 13 respondents run by Defra that collects information on the number of eggs bought by egg processors and the quantity of egg products produced. The response rate is typically 100 per cent . These figures come from HM Revenue and Customs, but are validated and adjusted if necessary prior to publication. The Standard Industrial Classification codes used to produce each table are given in the footnotes below the tables. 4. In tables that show numbers of eggs the units used are 'thousand cases'. There are 360 eggs in one case. 5. The data are subject to a variety of validation checks which identify inconsistencies in the data. All data are cleaned prior to publication. 6. The percentage changes shown are calculated using unrounded figures. Thus any percentage changes calculated using the published (rounded) figures may not equate exactly with the changes shown. Revisions policy: 7. Figures in this dataset are provisional and subject to revision. We will provide information about any revisions we make to previously published information in this dataset, and the associated statistics notice. Revisions could occur for various reasons including : a. if we have not received survey data from respondents we make an estimate based on their previous returns. These estimates will be replaced with actual survey data when it is received. b. survey respondents occasionally supply amended figures for previous periods. c. we may also revise the methodology used to raise the survey data to give UK totals. This quarter there are no revisions to previously published throughput figures

ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Success Rates dataset contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer. These success rates are reported as cumulative success rates, which take into account transfers that occur within 1 year after an egg retrieval. Since ART success depends on whether patients are using ART for the first time or had prior ART cycles, users can examine success rates for all “Patients using their own eggs” or for “Patients with no prior ART using their own eggs.” For new patients using ART for the first time, the success rates are also shown after 1, 2, or all intended egg retrievals during the reporting year. In addition, the average number of transfers per intended retrieval and the average number of intended retrievals per live-birth delivery are shown. Success rates for ART cycles that involve the transfer of embryos created from donor eggs or donated embryos are shown and are not cumulative. They are based on donor cycles started in the year indicated that had embryo transfers, regardless of when the donor eggs were retrieved. Success rates in this section are not presented by patient age group because previous data show that an intended parent’s age does not substantially affect success when using donor eggs or donated embryos. The success rates are presented by types of embryos and eggs used in the transfer. This dataset excludes cycles that were considered research—that is, cycles performed to evaluate new procedures.

ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Success Rates dataset contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer. These success rates are reported as cumulative success rates, which take into account transfers that occur within 1 year after an egg retrieval. Since ART success depends on whether patients are using ART for the first time or had prior ART cycles, users can examine success rates for all “Patients using their own eggs” or for “Patients with no prior ART using their own eggs.” For new patients using ART for the first time, the success rates are also shown after 1, 2, or all intended egg retrievals during the reporting year. In addition, the average number of transfers per intended retrieval and the average number of intended retrievals per live-birth delivery are shown. Success rates for ART cycles that involve the transfer of embryos created from donor eggs or donated embryos are shown and are not cumulative. They are based on donor cycles started in the year indicated that had embryo transfers, regardless of when the donor eggs were retrieved. Success rates in this section are not presented by patient age group because previous data show that an intended parent’s age does not substantially affect success when using donor eggs or donated embryos. The success rates are presented by types of embryos and eggs used in the transfer. This dataset excludes cycles that were considered research—that is, cycles performed to evaluate new procedures.

Data were updated on September 11, 2024. ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Success Rates dataset contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer. These success rates are reported as cumulative success rates, which take into account transfers that occur within 1 year after an egg retrieval. Since ART success depends on whether patients are using ART for the first time or had prior ART cycles, users can examine success rates for all “Patients using their own eggs” or for “Patients with no prior ART using their own eggs.” For new patients using ART for the first time, the success rates are also shown after 1, 2, or all intended egg retrievals during the reporting year. In addition, the average number of transfers per intended retrieval and the average number of intended retrievals per live-birth delivery are shown. Success rates for ART cycles that involve the transfer of embryos created from donor eggs or donated embryos are shown and are not cumulative. They are based on donor cycles started in the year indicated that had embryo transfers, regardless of when the donor eggs were retrieved. Success rates in this section are not presented by patient age group because previous data show that an intended parent’s age does not substantially affect success when using donor eggs or donated embryos. The success rates are presented by types of embryos and eggs used in the transfer. This dataset excludes cycles that were considered research—that is, cycles performed to evaluate new procedures.

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.

This dataset provides an analysis of average monthly prices for four essential food items, namely Eggs, Milk, Bread, and Potatoes, in five different countries: Australia, Japan, Canada, South Africa, and Sweden. The dataset spans a five-year period, from 2018 to 2022, offering a comprehensive overview of how food prices have evolved over time in these nations.

The dataset includes information on the average monthly prices of each food item in the respective countries. This information can be valuable for studying and comparing the cost of living, assessing economic trends, and understanding variations in food price dynamics across different regions.

Use Cases:

Comparative Analysis: Researchers and analysts can compare food prices across the five countries over the five-year period to identify patterns, trends, and variations. This analysis can help understand differences in purchasing power and economic factors impacting food costs.

Cost of Living Studies: The dataset can be used to examine the cost of living in different countries, specifically focusing on the expenses related to basic food items. This information can be beneficial for individuals considering relocation or policymakers aiming to evaluate living standards.

Economic Studies: Economists and policymakers can utilize this dataset to analyze the impact of economic factors, such as inflation or currency fluctuations, on food prices in different countries. It can provide insights into the stability and volatility of food markets in each region.

Forecasting and Planning: Businesses in the food industry can leverage the dataset to forecast future food price trends and plan their operations accordingly. The historical data can serve as a foundation for predictive models and assist in optimizing pricing strategies and supply chain management.

Note: The dataset is based on average monthly prices and does not capture individual variations or specific regions within each country. Further analysis and interpretation should consider additional factors like seasonal influences, local market dynamics, and consumer preferences.

Data were updated on September 11, 2024. ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Success Rates dataset contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer. These success rates are reported as cumulative success rates, which take into account transfers that occur within 1 year after an egg retrieval. Since ART success depends on whether patients are using ART for the first time or had prior ART cycles, users can examine success rates for all “Patients using their own eggs” or for “Patients with no prior ART using their own eggs.” For new patients using ART for the first time, the success rates are also shown after 1, 2, or all intended egg retrievals during the reporting year. In addition, the average number of transfers per intended retrieval and the average number of intended retrievals per live-birth delivery are shown. Success rates for ART cycles that involve the transfer of embryos created from donor eggs or donated embryos are shown and are not cumulative. They are based on donor cycles started in the year indicated that had embryo transfers, regardless of when the donor eggs were retrieved. Success rates in this section are not presented by patient age group because previous data show that an intended parent’s age does not substantially affect success when using donor eggs or donated embryos. The success rates are presented by types of embryos and eggs used in the transfer. This dataset excludes cycles that were considered research—that is, cycles performed to evaluate new procedures.

Indonesia Average Retail Price: Egg: Purebred Chicken Egg: Traditional Market: West Kalimantan: Pontianak Municipality: Flamboyan Market data was reported at 30,600.000 IDR/kg in 11 Jan 2022. This stayed constant from the previous number of 30,600.000 IDR/kg for 10 Jan 2022. Indonesia Average Retail Price: Egg: Purebred Chicken Egg: Traditional Market: West Kalimantan: Pontianak Municipality: Flamboyan Market data is updated daily, averaging 25,000.000 IDR/kg from Jul 2016 to 11 Jan 2022, with 1327 observations. The data reached an all-time high of 30,600.000 IDR/kg in 11 Jan 2022 and a record low of 20,000.000 IDR/kg in 06 Apr 2017. Indonesia Average Retail Price: Egg: Purebred Chicken Egg: Traditional Market: West Kalimantan: Pontianak Municipality: Flamboyan Market data remains active status in CEIC and is reported by Center of Strategic Food Price Information. The data is categorized under Indonesia Premium Database’s Prices – Table ID.PB014: Average Retail Price: Traditional Market: By Regions: Egg: Purebred Chicken Egg. [COVID-19-IMPACT]

Understanding the relationship between an insect's developmental rate and temperature is crucial to forecast insect phenology under climate change. In the winter moth Operophtera brumata timing of egg-hatching has severe fitness consequences on growth and reproduction as egg-hatching has to match bud burst of the host tree. In the winter moth, as in many insect species, egg development is strongly affected by ambient temperatures. Here we use laboratory experiments to show for the first time that the effect of temperature on developmental rate depends on the stage of development of the eggs. Building on this experimental finding, we present a novel physiological model to describe winter moth egg development in response to temperature. Our model, a modification of the existing Sharpe−Schoolfield biophysical model, incorporates the effect of developmental stage on developmental rate. Next we validate this model using a 13-year data-set from winter moth eggs kept under ambient conditions and compared this validation with a degree day model and with the Sharpe−Schoolfield model, which lacks the interaction between temperature and developmental stage on developmental rate. We show that accounting for the interaction between temperature and developmental stage improved the predictive power of the model and contributed to our understanding of annual variation in winter moth egg phenology. As climate change leads to unequal changes in temperatures throughout the year, a description of insect development in response to realistic patterns of temperature rather than an invariable degree-day approach will help us to better predict future responses of insect phenology, and thereby insect fitness, to climate change. Fig 1 egg-hatching dates experiment 2007Data used in Figure 1Fig 2a developmental rate at different developmental stagesData used in Figure 2aFig 2b development versus timeData used in Figure 2bFig 3 development against timeData used in Figure 3Fig 4a Model results_ model-fitData used in Figure 4aFig 4b Model results_ validation_ experiments 20052007Data used in Figure 4bFig 4c Model results_ validation experimental dataData used in Figure 4cFig 4a Temperature data_experimental data-set for parameterizationTemperature data used in the three models to estimate optimal parameters valuesFig 4a Egg-hatching data_experimental data-set for parameterizationEgg-hatching data used in the three models to estimate optimal parameters valuesFig 4b Temperature data_experimental data-set for validationTemperature data used in the three models to calculate predictions on timing of egg-hatchingFig 4c Temperature data_field data-set for validationTemperature data used in the three models to calculate predictions on timing of egg-hatchingFig 4b Egg-hatching data_experimental data-set for validationData on timing of egg-hatching for the experimental data-set used for the validation shown in Fig 4bFig 4c Egg-hatching data_field data-set for validationData on timing of egg-hatching for the experimental data-set used for the validation shown in Fig 4cFig A1 Sensitivity analysisData used in Fig A1 (supplementary material)Fig A2 MeanDD vs frostdaysData used in Fig A2