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.

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.

The Coronavirus (Covid-19) pandemic has led to tectonic shifts in the retail sector in such a short period of time. With consumers rushing to the shops and online marketplaces to stock up on a variety of products, the usual prices have seen drastic spikes, especially on online marketplaces which allow 3rd party sellers to trade.

Between March 16-19, 2020, when the crisis was beginning to peak in so many countries, the listed price of hand lotion products on both eBay.co.uk and Amazon.co.uk saw great spikes, as a recent study revealed. The price of Carex hand lotion (250 ml) was listed as high as 100 British pounds by sellers on eBay's UK platform. The usual price of this product was only 1 British pound.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Fact and Figures page.

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).

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]

During the COVID-19 global pandemic, the prices of different mineral commodities decreased significantly worldwide. Between January and April 2020, the price of zinc dropped by 18.9 percent. During the same time period, the price of gold increased by some 12.8 percent.

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

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.

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.

The United States is the country with the greatest number of COVID-19 deaths in 2020, 2021, and 2022. Both the U.S. and the world exhibited an increase in the number of COVID-related deaths in 2021 and a decrease in 2022. The U.S. share of COVID-related deaths declined in 2021 but rose in 2022, leading to a cumulative total U.S. mortality share of 17%. The extent to which the U.S. is an outlier is even greater based on the monetized mortality costs. Using the value of a statistical life to monetize the mortality impact increases the performance gap between the U.S. and the rest of the world because of the high mortality risk valuation in the U.S. The worldwide COVID-19 mortality cost was $29.4 trillion as of January 1, 2023, with a U.S. share of $12.7 trillion, or 43% of the global total. Throughout the COVID pandemic, the U.S. mortality cost share has been in the narrow range of 43% to 45%. Given the high U.S. value of a statistical life, these monetized mortality cost values are more than double the U.S. share of COVID-related deaths. The U.S. mortality cost share is greater if the value of a statistical life declines more than proportionally with income for low-income countries.

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.

Canada BOS: Input Price Inflation: Increase data was reported at 32.000 % in Mar 2025. This records an increase from the previous number of 13.000 % for Dec 2024. Canada BOS: Input Price Inflation: Increase data is updated quarterly, averaging 26.000 % from Sep 1998 (Median) to Mar 2025, with 107 observations. The data reached an all-time high of 55.000 % in Mar 2011 and a record low of 9.000 % in Sep 2023. Canada BOS: Input Price Inflation: Increase data remains active status in CEIC and is reported by Bank of Canada. The data is categorized under Global Database’s Canada – Table CA.S003: Business Outlook Survey. Business Outlook Survey Questionnaire: Input Price Inflation - Over the next 12 months, are prices of products/services purchased expected to increase at a greater, lesser, or the same rate as over the past year? [COVID-19-IMPACT]

Causality tests, COVID-19 crisis period.

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.

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.

Ireland DE: LU: Change in Market Income data was reported at -3,740.000 EUR mn in Dec 2021. This records an increase from the previous number of -4,008.000 EUR mn for Sep 2021. Ireland DE: LU: Change in Market Income data is updated quarterly, averaging -4,196.000 EUR mn from Mar 2021 (Median) to Dec 2021, with 4 observations. The data reached an all-time high of -3,740.000 EUR mn in Dec 2021 and a record low of -4,384.000 EUR mn in Jun 2021. Ireland DE: LU: Change in Market Income 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]

Abstract

In Chad, COVID-19 is expected to affect households in many ways. First, governments might reduce social transfers to households due to the decline in revenue arising from the potential COVID-19 economic recession. Second households deriving income from vulnerable sectors such as tourism and related activities will likely face risk of unemployment or loss of income. Third an increase in prices of imported goods can also negatively impact household welfare, as a direct consequence of the increase of these imported items or as indirect increase of prices of local good manufactured using imported inputs. In this context, there is a need to produce high frequency data to help policy makers in monitoring the channels by which the pandemic affects households and assessing its distributional impact. To do so, the sample of the longitudinal survey will be a sub-sample of the 2018/19 Enquête sur la Consommation des Ménages et le Secteur Informel au Tchad (Ecosit 4) in Chad.

This has the advantage of conducting cost effectively welfare analysis without collecting new consumption data. The 30 minutes questionnaires covered many modules, including knowledge, behavior, access to services, food security, employment, safety nets, shocks, coping, etc. Data collection is planned for four months (four rounds) and the questionnaire is designed with core modules and rotating modules.

The main objectives of the survey are to: • Identify type of households directly or indirectly affected by the pandemic; • Identify the main channels by which the pandemic affects households; • Provide relevant data on income and socioeconomic indicators to assess the welfare impact of the pandemic.

Geographic coverage

National coverage, including Ndjamena (Capital city), other urban and rural

Analysis unit

• Households
• Individuals

Universe

The survey covered only households of the 2018/19 Enquête sur la Consommation des Ménages et le Secteur Informel au Tchad (ECOSIT 4) which excluded populations in prisons, hospitals, military barracks, and school dormitories.

Kind of data

Sample survey data [ssd]

Sampling procedure

The Chad COVID-19 impact monitoring survey is a high frequency Computer Assisted Telephone Interview (CATI). The survey’s sample was drawn from the Enquête sur la Consommation des Ménages et le Secteur Informel au Tchad (Ecosit 4) which was conducted in 2018-2019. ECOSIT 4 is a survey with a sample size of 7,493 household’s representative at national, regional and by urban/rural. During the survey, each household was asked to provide a phone number of at least one member or a non-household member (e.g. friends or neighbors) so that they can be contacted for follow-up questions. The sampling of the high frequency survey aimed at having representative estimates by national and area of residence: Ndjamena (capital city), other urban and rural area. The minimum sample size was 2,000 for which 1,748 households (87.5%) were successfully interviewed at the national level. To account for non-response and attrition and given that this survey was the first experience of INSEED, 2,833households were initially selected, among them 1,832 households have been reached. The 1,748 households represent the final sample and will be contacted for the next three rounds of the survey.

Sampling deviation

None

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The questionnaire is in French and has been administrated in French and local languages. The length of an interview varies between 20 and 30 minutes. The questionnaires consisted of the following sections: 1- Household Roster 2- Knowledge of COVID-19 3- Behavior and Social Distancing 4- Access to Basic Services 5- Employment and Income 6- Prices and Food Security 7- Other Impacts of COVID-19 8- Income Loss 9- Coping/Shocks 10- Social Safety Nets 11- Fragility 12. Gender based Violence (for the fourth wave) 13. Vaccine (for the fourth wave)

Cleaning operations

At the end of data collection, the raw dataset was cleaned by the INSEED with the support of the WB team. This included formatting, and correcting results based on monitoring issues, enumerator feedback and survey changes.

Response rate

The minimum sample expected is 2,000 households covering Ndjamena, other urban and rural areas. Overall, the survey has been completed for 1,748 households that is about 87.5 % of the expected minimal sample size at the national level. This provide reliable estimates at national and area of residence level.

From January 2020 to January 2021, changes in restaurant menu prices in the United States varied by restaurant type. Full service restaurants (FSRs) experienced a decrease in menu prices between March 2020 and April 2020. Meanwhile, limited/quick service restaurants (QSRs) experienced an increase in menu prices during those same months. Despite the increase in menu prices from quick service restaurants, the total revenue of the QSR industry in the U.S. fell from *** billion U.S. dollars in 2019 to *** billion U.S. dollars in 2020 as a result of the coronavirus (COVID-19) pandemic.

What is the leading QSR chain in the U.S.?

According to a measure of systemwide sales, McDonald’s generated more sales in 2020 than any other QSR chain in the United States. The fast food behemoth earned ***** billion U.S. dollars in sales revenue, which amounted to roughly ** billion U.S. dollars more than the second ranked chain, Starbucks. Compared to McDonald’s, the similarly influential coffeehouse giant took home **** billion U.S. dollars in sales revenue in 2020. Other leading QSR chains in the U.S. included Chick-fil-A and Taco Bell.

Which U.S. state has the most quick service restaurants?

As the home of fast food, there is no shortage of quick service restaurants in the United States. Although such restaurants can be found in every state, some states have more than others. In 2019, the U.S. state with the largest number of quick service restaurants was California with nearly **** thousand establishments. Meanwhile, state with the lowest number of quick service restaurants was Wyoming with ***.

Summary statistics full sample.