100+ datasets found
  1. Percentage change in online prices of high-demand products in the UK 2020

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). Percentage change in online prices of high-demand products in the UK 2020 [Dataset]. https://www.statista.com/statistics/1109698/coronavirus-price-change-for-high-demand-items-in-the-uk/
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    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 16, 2020 - Mar 29, 2020
    Area covered
    United Kingdom
    Description

    The online price of cough and cold medications in the United Kingdom increased by around 10.7 percent, when comparing the week ending 21 March, 2020 to the week ending March 29, 2020. Other products that were in high-demand due to the Coronavirus epidemic, include pet food, which has seen a price increase of 3.1 percent, and paracetamol, which had prices 2.8 percent higher. Several high-demand products have seen a price decrease, with the price of antibacterial surface wipes declining by 2.8 percent.

  2. Food prices change due to lack of China imports COVID-19 South Korea...

    • statista.com
    Updated Feb 20, 2020
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    Statista (2020). Food prices change due to lack of China imports COVID-19 South Korea February 2020 [Dataset]. https://www.statista.com/statistics/1102980/south-korea-food-price-change-due-lack-of-imports-from-china-during-covid-19-outbreak/
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    Dataset updated
    Feb 20, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 20, 2020
    Area covered
    South Korea
    Description

    Imports from China have decreased immensely due to the coronavirus (COVID-19) outbreak in the beginning of 2020. The lack of supply for certain agricultural foods led to an increase of wholesale prices for those products. The prices for red chilies increased by around 31 percent between February 12 and February 20, 2020.

  3. Food Price Post-Covid19

    • zenodo.org
    csv, text/x-python
    Updated Jul 8, 2020
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    Xinyu Yao; Xinyu Yao (2020). Food Price Post-Covid19 [Dataset]. http://doi.org/10.5281/zenodo.3934925
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    csv, text/x-pythonAvailable download formats
    Dataset updated
    Jul 8, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Xinyu Yao; Xinyu Yao
    License

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

    Description

    The spread of the pandemic in late 2019 bring public concerns on food production and food commodity prices. Disruptions to food supply chains and stronger demand due to COVID-19 may cause sharp food price increases, which may negatively affect food security. Moreover, developing countries are more vulnerable to food prices vibration and thus, food security. This project aims to visually show the change in domestic prices of basic food in developing countries, specifically since late 2019.

  4. Reduced Access to Care During COVID-19

    • catalog.data.gov
    • cloud.csiss.gmu.edu
    • +3more
    Updated Apr 23, 2025
    + more versions
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    Centers for Disease Control and Prevention (2025). Reduced Access to Care During COVID-19 [Dataset]. https://catalog.data.gov/dataset/reduced-access-to-care-during-covid-19
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    Dataset updated
    Apr 23, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. RANDS is an ongoing series of surveys from probability-sampled commercial survey panels used for methodological research at the National Center for Health Statistics (NCHS). RANDS estimates are generated using an experimental approach that differs from the survey design approaches generally used by NCHS, including possible biases from different response patterns and sampling frames as well as increased variability from lower sample sizes. Use of the RANDS platform allows NCHS to produce more timely data than would be possible using traditional data collection methods. RANDS is not designed to replace NCHS’ higher quality, core data collections. Below are experimental estimates of reduced access to healthcare for three rounds of RANDS during COVID-19. Data collection for the three rounds of RANDS during COVID-19 occurred between June 9, 2020 and July 6, 2020, August 3, 2020 and August 20, 2020, and May 17, 2021 and June 30, 2021. Information needed to interpret these estimates can be found in the Technical Notes. RANDS during COVID-19 included questions about unmet care in the last 2 months during the coronavirus pandemic. Unmet needs for health care are often the result of cost-related barriers. The National Health Interview Survey, conducted by NCHS, is the source for high-quality data to monitor cost-related health care access problems in the United States. For example, in 2018, 7.3% of persons of all ages reported delaying medical care due to cost and 4.8% reported needing medical care but not getting it due to cost in the past year. However, cost is not the only reason someone might delay or not receive needed medical care. As a result of the coronavirus pandemic, people also may not get needed medical care due to cancelled appointments, cutbacks in transportation options, fear of going to the emergency room, or an altruistic desire to not be a burden on the health care system, among other reasons. The Household Pulse Survey (https://www.cdc.gov/nchs/covid19/pulse/reduced-access-to-care.htm), an online survey conducted in response to the COVID-19 pandemic by the Census Bureau in partnership with other federal agencies including NCHS, also reports estimates of reduced access to care during the pandemic (beginning in Phase 1, which started on April 23, 2020). The Household Pulse Survey reports the percentage of adults who delayed medical care in the last 4 weeks or who needed medical care at any time in the last 4 weeks for something other than coronavirus but did not get it because of the pandemic. The experimental estimates on this page are derived from RANDS during COVID-19 and show the percentage of U.S. adults who were unable to receive medical care (including urgent care, surgery, screening tests, ongoing treatment, regular checkups, prescriptions, dental care, vision care, and hearing care) in the last 2 months. Technical Notes: https://www.cdc.gov/nchs/covid19/rands/reduced-access-to-care.htm#limitations

  5. Reasons for price increases according to Poles 2021

    • statista.com
    Updated Aug 1, 2024
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    Statista (2024). Reasons for price increases according to Poles 2021 [Dataset]. https://www.statista.com/statistics/1254786/poland-reasons-for-price-increases/
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    Dataset updated
    Aug 1, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 24, 2021 - Jul 1, 2021
    Area covered
    Poland
    Description

    In 2021, Poles surveyed most often cited the desire of entrepreneurs to make up for losses caused by the COVID-19 pandemic as the reason for rising prices - 61 percent.

  6. I

    Ireland DE: HU: Change in Personal Income Tax Revenue

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). Ireland DE: HU: Change in Personal Income Tax Revenue [Dataset]. https://www.ceicdata.com/en/ireland/potential-costs-and-distributional-effect-covid19-related-unemployment/de-hu-change-in-personal-income-tax-revenue
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    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2021 - Dec 1, 2021
    Area covered
    Ireland
    Variables measured
    Unemployment
    Description

    Ireland DE: HU: Change in Personal Income Tax Revenue data was reported at -1,416.000 EUR mn in Dec 2021. This records an increase from the previous number of -1,712.000 EUR mn for Sep 2021. Ireland DE: HU: Change in Personal Income Tax Revenue data is updated quarterly, averaging -1,594.000 EUR mn from Mar 2021 (Median) to Dec 2021, with 4 observations. The data reached an all-time high of -1,416.000 EUR mn in Dec 2021 and a record low of -1,716.000 EUR mn in Mar 2021. Ireland DE: HU: Change in Personal Income Tax Revenue data remains active status in CEIC and is reported by Economic and Social Research Institute. The data is categorized under Global Database’s Ireland – Table IE.F013: Potential Costs and Distributional Effect: COVID-19 Related Unemployment. [COVID-19-IMPACT]

  7. Online price changes for high-demand products

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Aug 20, 2020
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    Office for National Statistics (2020). Online price changes for high-demand products [Dataset]. https://www.ons.gov.uk/economy/inflationandpriceindices/datasets/onlinepricechangesforhighdemandproducts
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    xlsxAvailable download formats
    Dataset updated
    Aug 20, 2020
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    The online price changes of selected high-demand products (HDPs) dataset. These data are experimental estimates developed to deliver timely indicators to help understand the impact of the coronavirus (COVID-19).

  8. f

    Data from: Rising drug prices in Brazil during COVID-19 pandemic: another...

    • figshare.com
    xls
    Updated Jun 1, 2023
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    Marcela Amaral Pontes; Alane Andrelino Robeiro; Marina Raijche Mattozo Rover; Silvana Nair Leite (2023). Rising drug prices in Brazil during COVID-19 pandemic: another threat to people’s health [Dataset]. http://doi.org/10.6084/m9.figshare.21835200.v1
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELO journals
    Authors
    Marcela Amaral Pontes; Alane Andrelino Robeiro; Marina Raijche Mattozo Rover; Silvana Nair Leite
    License

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

    Area covered
    Brazil
    Description

    Abstract The COVID-19 pandemic puts the healthcare systems at risk due to the still uncertain operational and financial impacts of it. The difficult economic conditions of the population also call for more attention from government officials to define strategies that guarantee access to health services and products. Maintaining the supply chain of pharmaceutical products is not only paramount to cover the immediate medical response but will be fundamental to reducing disruption of the healthcare system. Increasing drug prices during the pandemic is definitely not a strategy that contributes to access. In this sense, this commentary presents a criticism of a decision by the Brazilian government that may impact the availability in health services and the population’s access to medicines necessary for the maintenance of life.

  9. f

    table1_Utilisation, Availability and Price Changes of Medicines and...

    • frontiersin.figshare.com
    docx
    Updated Jun 4, 2023
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    Mainul Haque; Santosh Kumar; Jaykaran Charan; Rohan Bhatt; Salequl Islam; Siddhartha Dutta; Jha Pallavi Abhayanand; Yesh Sharma; Israel Sefah; Amanj Kurdi; Janney Wale; Brian Godman (2023). table1_Utilisation, Availability and Price Changes of Medicines and Protection Equipment for COVID-19 Among Selected Regions in India: Findings and Implications.docx [Dataset]. http://doi.org/10.3389/fphar.2020.582154.s001
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    docxAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    Frontiers
    Authors
    Mainul Haque; Santosh Kumar; Jaykaran Charan; Rohan Bhatt; Salequl Islam; Siddhartha Dutta; Jha Pallavi Abhayanand; Yesh Sharma; Israel Sefah; Amanj Kurdi; Janney Wale; Brian Godman
    License

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

    Area covered
    India
    Description

    Background: COVID-19 has already claimed a considerable number of lives worldwide. However, there are concerns with treatment recommendations given the extent of conflicting results with suggested treatments and misinformation, some of which has resulted in increased prices and shortages alongside increasing use and prices of personal protective equipment (PPE). This is a concern in countries such as India where there have been high patient co-payments and an appreciable number of families going into poverty when members become ill. However, balanced against pricing controls. Community pharmacists play a significant role in disease management in India, and this will remain. Consequently, there is a need to review prices and availability of pertinent medicines during the early stages of the COVID-19 pandemic in India to provide future direction.Objective: Assess current utilisation and price changes as well as shortages of pertinent medicines and equipment during the early stages of the pandemic.Our Approach: Multiple approach involving a review of treatments and ongoing activities across India to reduce the spread of the virus alongside questioning pharmacies in selected cities from early March to end May 2020.Our Activities: 111 pharmacies took part, giving a response rate of 80%. Encouragingly, no change in utilisation of antimalarial medicines in 45% of pharmacies despite endorsements and for antibiotics in 57.7% of pharmacies, helped by increasing need for a prescription for dispensing. In addition, increased purchasing of PPE (over 98%). No price increases were seen for antimalarials and antibiotics in 83.8 and 91.9% of pharmacies respectively although shortages were seen for antimalarials in 70.3% of pharmacies, lower for antibiotics (9.9% of pharmacies). However, price increases were typically seen for PPE (over 90% of stores) as well as for analgesics (over 50% of pharmacies). Shortages were also seen for PPE (88.3%).Conclusion: The pandemic has impacted on utilisation and prices of pertinent medicines and PPE in India but moderated by increased scrutiny. Key stakeholder groups can play a role with enhancing evidenced-based approaches and reducing inappropriate purchasing in the future.

  10. f

    Data_Sheet_1_The economic impact of COVID-19 interventions: A mathematical...

    • frontiersin.figshare.com
    docx
    Updated May 31, 2023
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    Jung Eun Kim; Heejin Choi; Yongin Choi; Chang Hyeong Lee (2023). Data_Sheet_1_The economic impact of COVID-19 interventions: A mathematical modeling approach.docx [Dataset]. http://doi.org/10.3389/fpubh.2022.993745.s001
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    docxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Frontiers
    Authors
    Jung Eun Kim; Heejin Choi; Yongin Choi; Chang Hyeong Lee
    License

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

    Description

    Prior to vaccination or drug treatment, non-pharmaceutical interventions were almost the only way to control the coronavirus disease 2019 (COVID-19) epidemic. After vaccines were developed, effective vaccination strategies became important. The prolonged COVID-19 pandemic has caused enormous economic losses worldwide. As such, it is necessary to estimate the economic effects of control policies, including non-pharmaceutical interventions and vaccination strategies. We estimated the costs associated with COVID-19 according to different vaccination rollout speeds and social distancing levels and investigated effective control strategies for cost minimization. Age-structured mathematical models were developed and used to study disease transmission epidemiology. Using these models, we estimated the actual costs due to COVID-19, considering costs associated with medical care, lost wages, death, vaccination, and gross domestic product (GDP) losses due to social distancing. The lower the social distancing (SD) level, the more important the vaccination rollout speed. SD level 1 was cost-effective under fast rollout speeds, but SD level 2 was more effective for slow rollout speeds. If the vaccine rollout rate is fast enough, even implementing SD level 1 will be cost effective and can control the number of critically ill patients and deaths. If social distancing is maintained at level 2 at the beginning and then relaxed when sufficient vaccinations have been administered, economic costs can be reduced while maintaining the number of patients with severe symptoms below the intensive care unit (ICU) capacity. Korea has wellequipped medical facilities and infrastructure for rapid vaccination, and the public's desire for vaccination is high. In this case, the speed of vaccine supply is an important factor in controlling the COVID-19 epidemic. If the speed of vaccination is fast, it is possible to maintain a low level of social distancing without a significant increase in the number of deaths and hospitalized patients with severe symptoms, and the corresponding costs can be reduced.

  11. Biological Product Market in the U.S. to Post Solid Gains Amid the COVID...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Jul 1, 2025
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    IndexBox Inc. (2025). Biological Product Market in the U.S. to Post Solid Gains Amid the COVID Pandemic - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/biological-product-market-in-the-u-s-key-insights-2020/
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    docx, xlsx, doc, pdf, xlsAvailable download formats
    Dataset updated
    Jul 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    License

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

    Time period covered
    Jan 1, 2012 - Jul 1, 2025
    Area covered
    United States
    Variables measured
    Market Size, Market Share, Tariff Rates, Average Price, Export Volume, Import Volume, Demand Elasticity, Market Growth Rate, Market Segmentation, Volume of Production, and 4 more
    Description

    For the seventh year in a row, the U.S. biological product market recorded growth in sales value, which increased by 11% to $50.4B in 2019. The biological product market is one of the few markets where the demand is increasing amid the pandemic. The use of blood plasma from patients with antibodies to coronavirus to treat other patients is one of the currently available kinds of therapy for COVID-19. In addition, the development of a vaccine against coronavirus constitutes a super-urgent task, which may lead to an increase in the market should a mass vaccination start.

  12. Causality tests, COVID-19 crisis period.

    • plos.figshare.com
    xls
    Updated Jun 6, 2023
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    Celina Löwen; Bilal Kchouri; Thorsten Lehnert (2023). Causality tests, COVID-19 crisis period. [Dataset]. http://doi.org/10.1371/journal.pone.0251752.t005
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    xlsAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Celina Löwen; Bilal Kchouri; Thorsten Lehnert
    License

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

    Description

    Causality tests, COVID-19 crisis period.

  13. Panama CPI: COVID-19: Food

    • ceicdata.com
    + more versions
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    CEICdata.com, Panama CPI: COVID-19: Food [Dataset]. https://www.ceicdata.com/en/panama/consumer-price-index-covid19-sep2020100/cpi-covid19-food
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    May 1, 2021 - Apr 1, 2022
    Area covered
    Panama
    Variables measured
    Consumer Prices
    Description

    Panama Consumer Price Index (CPI): COVID-19: Food data was reported at 102.467 Sep2020=100 in Dec 2024. This records an increase from the previous number of 101.141 Sep2020=100 for Nov 2024. Panama Consumer Price Index (CPI): COVID-19: Food data is updated monthly, averaging 98.002 Sep2020=100 from Sep 2020 (Median) to Dec 2024, with 52 observations. The data reached an all-time high of 102.858 Sep2020=100 in Jan 2024 and a record low of 94.094 Sep2020=100 in May 2022. Panama Consumer Price Index (CPI): COVID-19: Food data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Panama – Table PA.I006: Consumer Price Index: COVID-19: Sep2020=100. [COVID-19-IMPACT]

  14. U.S. monthly inflation rate 2025

    • statista.com
    Updated Mar 11, 2025
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    Statista (2025). U.S. monthly inflation rate 2025 [Dataset]. https://www.statista.com/statistics/273418/unadjusted-monthly-inflation-rate-in-the-us/
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    Dataset updated
    Mar 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2021 - Jan 2025
    Area covered
    United States
    Description

    In January 2025, prices had increased by three percent compared to January 2024 according to the 12-month percentage change in the consumer price index — the monthly inflation rate for goods and services in the United States. The data represents U.S. city averages. In economics, the inflation rate is a measure of the change in price level over time. The rate of decrease in the purchasing power of money is approximately equal. A projection of the annual U.S. inflation rate can be accessed here and the actual annual inflation rate since 1990 can be accessed here. InflationOne of the most important economic indicators is the development of the Consumer Price Index in a country. The change in this price level of goods and services is defined as the rate of inflation. The inflationary situation in the United States had been relatively severe in 2022 due to global events relating to COVID-19, supply chain restrains, and the Russian invasion of Ukraine. More information on U.S. inflation may be found on our dedicated topic page. The annual inflation rate in the United States has increased from 3.2 percent in 2011 to 8.3 percent in 2022. This means that the purchasing power of the U.S. dollar has weakened in recent years. The purchasing power is the extent to which a person has available funds to make purchases. According to the data published by the International Monetary Fund, the U.S. Consumer Price Index (CPI) was about 258.84 in 2020 and is forecasted to grow up to 325.6 by 2027, compared to the base period from 1982 to 1984. The monthly percentage change in the Consumer Price Index (CPI) for urban consumers in the United States was 0.1 percent in March 2023 compared to the previous month. In 2022, countries all around the world are experienced high levels of inflation. Although Brazil already had an inflation rate of 8.3 percent in 2021, compared to the previous year, while the inflation rate in China stood at 0.85 percent.

  15. Impact of Covid-19 on global iron ore price 2019-2020

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Impact of Covid-19 on global iron ore price 2019-2020 [Dataset]. https://www.statista.com/statistics/1125574/impact-of-covid-19-on-iron-ore-price/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The 2020 coronavirus (Covid-19) pandemic has had a noteworthy impact on commodities prices, including metals such as iron ore. The impact of Covid-19 on the global iron ore industry is apparent from the decline in the average year-to-date price of iron ore as of May 2020 (***** U.S. dollars per metric ton) as compared to the average price in 2019 (***** U.S. dollars per metric ton). Compared to other metals, however, iron ore prices have stayed relatively resilient, and are expected to recover further during 2020 once China's steel production increases again.

  16. United States House Prices Growth

    • ceicdata.com
    Updated Nov 27, 2021
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    CEICdata.com (2021). United States House Prices Growth [Dataset]. https://www.ceicdata.com/en/indicator/united-states/house-prices-growth
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    Dataset updated
    Nov 27, 2021
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    United States
    Description

    Key information about House Prices Growth

    • US house prices grew 5.2% YoY in Dec 2024, following an increase of 5.4% YoY in the previous quarter.
    • YoY growth data is updated quarterly, available from Mar 1992 to Dec 2024, with an average growth rate of 5.4%.
    • House price data reached an all-time high of 17.7% in Sep 2021 and a record low of -12.4% in Dec 2008.

    CEIC calculates House Prices Growth from quarterly House Price Index. Federal Housing Finance Agency provides House Price Index with base January 1991=100.

  17. Panama CPI: COVID-19: Food: Lemon

    • ceicdata.com
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    CEICdata.com, Panama CPI: COVID-19: Food: Lemon [Dataset]. https://www.ceicdata.com/en/panama/consumer-price-index-covid19-sep2020100/cpi-covid19-food-lemon
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    May 1, 2021 - Apr 1, 2022
    Area covered
    Panama
    Variables measured
    Consumer Prices
    Description

    Panama Consumer Price Index (CPI): COVID-19: Food: Lemon data was reported at 75.679 Sep2020=100 in Dec 2024. This records an increase from the previous number of 75.517 Sep2020=100 for Nov 2024. Panama Consumer Price Index (CPI): COVID-19: Food: Lemon data is updated monthly, averaging 84.242 Sep2020=100 from Sep 2020 (Median) to Dec 2024, with 52 observations. The data reached an all-time high of 100.000 Sep2020=100 in Sep 2020 and a record low of 73.367 Sep2020=100 in Sep 2024. Panama Consumer Price Index (CPI): COVID-19: Food: Lemon data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Panama – Table PA.I006: Consumer Price Index: COVID-19: Sep2020=100. [COVID-19-IMPACT]

  18. P

    Panama CPI: COVID-19: Food: Onion

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Panama CPI: COVID-19: Food: Onion [Dataset]. https://www.ceicdata.com/en/panama/consumer-price-index-covid19-sep2020100/cpi-covid19-food-onion
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    May 1, 2021 - Apr 1, 2022
    Area covered
    Panama
    Variables measured
    Consumer Prices
    Description

    Panama Consumer Price Index (CPI): COVID-19: Food: Onion data was reported at 184.997 Sep2020=100 in Dec 2024. This records an increase from the previous number of 168.846 Sep2020=100 for Nov 2024. Panama Consumer Price Index (CPI): COVID-19: Food: Onion data is updated monthly, averaging 124.660 Sep2020=100 from Sep 2020 (Median) to Dec 2024, with 52 observations. The data reached an all-time high of 184.997 Sep2020=100 in Dec 2024 and a record low of 85.624 Sep2020=100 in May 2022. Panama Consumer Price Index (CPI): COVID-19: Food: Onion data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Panama – Table PA.I006: Consumer Price Index: COVID-19: Sep2020=100. [COVID-19-IMPACT]

  19. T

    Lumber - Price Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 22, 2016
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    TRADING ECONOMICS (2016). Lumber - Price Data [Dataset]. https://tradingeconomics.com/commodity/lumber
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    json, csv, xml, excelAvailable download formats
    Dataset updated
    Oct 22, 2016
    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
    Jul 24, 1978 - Jul 23, 2025
    Area covered
    World
    Description

    Lumber fell to 666 USD/1000 board feet on July 23, 2025, down 0.97% from the previous day. Over the past month, Lumber's price has risen 9.43%, and is up 34.65% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Lumber - values, historical data, forecasts and news - updated on July of 2025.

  20. United States Stock Prices: 12 Months Expectation: Increase

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States Stock Prices: 12 Months Expectation: Increase [Dataset]. https://www.ceicdata.com/en/united-states/consumer-confidence-index-stock-price-expectation/stock-prices-12-months-expectation-increase
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    United States
    Variables measured
    Consumer Survey
    Description

    United States Stock Prices: 12 Months Expectation: Increase data was reported at 36.100 % in Apr 2025. This records a decrease from the previous number of 39.900 % for Mar 2025. United States Stock Prices: 12 Months Expectation: Increase data is updated monthly, averaging 36.200 % from Jun 1987 (Median) to Apr 2025, with 455 observations. The data reached an all-time high of 57.200 % in Nov 2024 and a record low of 18.100 % in Mar 2008. United States Stock Prices: 12 Months Expectation: Increase data remains active status in CEIC and is reported by The Conference Board. The data is categorized under Global Database’s United States – Table US.H052: Consumer Confidence Index: Stock Price Expectation. [COVID-19-IMPACT]

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Link copied
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Statista (2024). Percentage change in online prices of high-demand products in the UK 2020 [Dataset]. https://www.statista.com/statistics/1109698/coronavirus-price-change-for-high-demand-items-in-the-uk/
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Percentage change in online prices of high-demand products in the UK 2020

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Dataset updated
Aug 9, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Mar 16, 2020 - Mar 29, 2020
Area covered
United Kingdom
Description

The online price of cough and cold medications in the United Kingdom increased by around 10.7 percent, when comparing the week ending 21 March, 2020 to the week ending March 29, 2020. Other products that were in high-demand due to the Coronavirus epidemic, include pet food, which has seen a price increase of 3.1 percent, and paracetamol, which had prices 2.8 percent higher. Several high-demand products have seen a price decrease, with the price of antibacterial surface wipes declining by 2.8 percent.

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