In September 2025, prices had increased by three percent compared to September 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 restraints, 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.

Inflation is generally defined as the continued increase in the average prices of goods and services in a given region. Following the extremely high global inflation experienced in the 1980s and 1990s, global inflation has been relatively stable since the turn of the millennium, usually hovering between three and five percent per year. There was a sharp increase in 2008 due to the global financial crisis now known as the Great Recession, but inflation was fairly stable throughout the 2010s, before the current inflation crisis began in 2021. Recent years Despite the economic impact of the coronavirus pandemic, the global inflation rate fell to 3.26 percent in the pandemic's first year, before rising to 4.66 percent in 2021. This increase came as the impact of supply chain delays began to take more of an effect on consumer prices, before the Russia-Ukraine war exacerbated this further. A series of compounding issues such as rising energy and food prices, fiscal instability in the wake of the pandemic, and consumer insecurity have created a new global recession, and global inflation in 2024 is estimated to have reached 5.76 percent. This is the highest annual increase in inflation since 1996. Venezuela Venezuela is the country with the highest individual inflation rate in the world, forecast at around 200 percent in 2022. While this is figure is over 100 times larger than the global average in most years, it actually marks a decrease in Venezuela's inflation rate, which had peaked at over 65,000 percent in 2018. Between 2016 and 2021, Venezuela experienced hyperinflation due to the government's excessive spending and printing of money in an attempt to curve its already-high inflation rate, and the wave of migrants that left the country resulted in one of the largest refugee crises in recent years. In addition to its economic problems, political instability and foreign sanctions pose further long-term problems for Venezuela. While hyperinflation may be coming to an end, it remains to be seen how much of an impact this will have on the economy, how living standards will change, and how many refugees may return in the coming years.

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.

In March 2020, due to the situation caused by the coronavirus pandemic (COVID-19) in Poland, almost half of the Polish consumers fear food price increases. Only 12 percent of respondents were not afraid of food shortage at all.

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

BackgroundTo limit the spread of COVID-19, a strict lockdown was imposed in France between March and May 2020. Mobility limitations and closure of non-essential public places (restaurants, open-air markets, etc.) affected peoples' food environment (FE) and thus their food purchasing practices (FPPs). This study aimed to explore changes in FPPs of French households during lockdown and associations with individual and environmental factors.MethodsIn April of 2020 households from the Mont'Panier cross-sectional study (n = 306), a quota sampling survey conducted in the south of France, were asked to complete an online questionnaire about their FPPs during lockdown and related factors, including perceived FE (distance to closest general food store, perception of increased food prices, etc.). Objective FE (presence, number, proximity, and density of food outlets) was assessed around participant's home using a geographical information system. Multiple correspondence analysis based on changes in frequency of use and quantity of food purchased by food outlet, followed by a hierarchical cluster analysis, resulted in the identification of clusters. Logistic regression models were performed to assess associations between identified clusters and household's sociodemographic characteristics, perceived, and objective FE.ResultsFive clusters were identified. Cluster “Supermarket” (38% of the total sample), in which households reduced frequency of trips, but increased quantity bought in supermarkets during lockdown, was associated with lower incomes and the perception of increased food prices. Cluster “E-supermarket” (12%), in which households increased online food shopping with pickup at supermarket, was associated with higher incomes. Cluster “Diversified” (22%), made up of households who reduced frequency of trips to diverse food outlet types, was associated with the perception of increased food prices. Cluster “Organic Food Store” (20%), in which households did not change frequency of trips, nor quantity purchased in organic food stores, was associated with being older (35–50 y vs.

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The Google Health COVID-19 Open Data Repository is one of the most comprehensive collections of up-to-date COVID-19-related information. Comprising data from more than 20,000 locations worldwide, it contains a rich variety of data types to help public health professionals, researchers, policymakers and others in understanding and managing the virus.

Dive into the data View the data in multi-layered graphs and charts, or for more technical users, download it into your systems or solutions to investigate specific topics of concern. The datasets provide current information on COVID-19 cases, deaths, vaccination rates, and hospitalizations. Customize your search with queries on weather, geography, and other variables. Using our visualizer, see contextualized results.

In the West Africa Economic Monetary Union (WAEMU) countries, 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 is a sub-sample of the Enquête Harmonisée sur les Conditions de Vie des Ménages (EHCVM), a harmonized household survey conducted in 2018/19 household survey in the WAEMU countries.

For Burkina Faso, the survey, which is implemented by the Institut National de la Statistique et la Demographie (INSD), is conducted using cell phone numbers of household members collected during the 2018/19 EHCVM survey. The extensive information collected in the EHCVM provides a rich set of background information for the COVID-19 High Frequency Phone Survey of households. This background information can be leveraged to assess the differential impacts of the pandemic in the country. Every month, the sampled households will be asked a set of core questions on the key channels through which individuals and households are expected to be affected by the COVID-19-related restrictions. Employment, access to basic services, non-labor sources of income are channels likely to be impacted. The core questionnaire is complemented by questions on selected topics that rotate each month. This provides data to the government and development partners in near real-time, supporting an evidence-based response to the crisis.

In this Economic Commentary , we compare characteristics of the 2000–2006 house-price boom that preceded the Great Recession to the house-price boom that began in 2020 during the COVID-19 pandemic. These two episodes of high house-price growth have important differences, including the behavior of rental rates, the dynamics of housing supply and demand, and the state of the mortgage market. The absence of changes in fundamentals during the 2000s is consistent with the literature emphasizing house-price beliefs during this prior episode. In contrast to during the 2000s boom, changes in fundamentals (including rent and demand growth) played a more dominant role in the 2020s house-price boom.

According to Cognitive Market Research, The global luxury haircare products market size is USD 21.5 billion in 2023 and will expand at a compound annual growth rate (CAGR) of 6.50% from 2023 to 2030.

The demand for luxury haircare products is rising due to the numerous strategies adopted by key participants.
Demand for shampoos remains higher in the luxury haircare products market.
The specialty stores category held the highest luxury haircare products market revenue share in 2023.
North American luxury haircare products will continue to lead, whereas the Asia Pacific luxury haircare products market will experience the most substantial growth until 2030.

Rising Disposable Incomes and Changing Consumer Preferences Towards High-Quality Haircare Products to Provide Viable Market Output

As incomes rise, consumers have more disposable income to spend on luxury haircare products that offer superior quality and performance. They are willing to pay a premium price for products that are perceived to be of higher quality and provide better results. Moreover, consumers are becoming more discerning when it comes to their haircare products and are looking for products that can address their specific needs and concerns. This has led to a shift towards premium haircare products that offer targeted solutions, such as products for dry or damaged hair.

For instance, in 2020, Kao Corporation launched a new luxury haircare brand called SOFINA iP. The brand offers a range of premium haircare products that target consumers who are looking for high-quality, innovative haircare solutions.

(Source:www.cosmetics-technology.com/features/top-ten-cosmetics-companies-in-the-world/)

Increasing Popularity of E-Commerce to Propel Market Growth

The growth of e-commerce has made it easier for consumers to access a wider range of luxury haircare products and has enabled brands to reach a global audience. Online marketplaces and the websites of luxury haircare brands have become popular channels for consumers to purchase products, particularly during the pandemic.

For instance, in 2019, Henkel AG & Co. KGaA launched a new luxury haircare brand called Authentic Beauty Concept. The brand focuses on natural ingredients and sustainable packaging and targets consumers who are looking for premium, eco-friendly haircare products.

(Source:www.henkel.com/brands-and-businesses/authentic-beauty-concept-953976)

Market Dynamics of Luxury Haircare Products

High Price Point, Economic Uncertainty, and Intense Competition to Certain Ingredients to Restrict Market Growth

The luxury haircare products market is facing several restraints that are impacting its growth. The high price point of luxury haircare products can limit their appeal to price-sensitive consumers. Consumers may prefer to purchase more affordable mass-market haircare products instead of luxury haircare products. The economic uncertainty and a volatile global economy can impact consumer spending on luxury haircare products. In times of economic uncertainty, consumers may prioritise spending on essential products and cut back on non-essential products such as luxury haircare products. Moreover, the luxury haircare products market is highly competitive, with a large number of players vying for market share. This can make it difficult for new entrants to establish themselves in the market and can also lead to increased marketing and promotional costs for existing players.

Impact of COVID–19 on the Luxury Haircare Products Market

The COVID-19 pandemic has had a significant impact on the luxury haircare products market. The closure of salons and reduced social interactions during lockdowns led to a decline in demand for luxury haircare products, particularly in the first half of 2020. Consumers became more cautious with their spending and focused more on essential products. However, the market started to recover in the second half of 2020 as consumers began to shift their focus towards self-care and indulgence, with the use of luxury haircare products becoming a way to pamper themselves at home. The trend of home haircare treatments and DIY haircare routines also gained momentum during the pandemic, leading to an increase in demand for luxury haircare products. The pandemic also led to a shift in consumer preferences towards natural and sustainable products. Consumers became more conscious about the ingredients used in their haircare prod...

The global Crude Oil Flow Improver market was valued at USD 1.82 billion in 2022 and is projected to reach USD 2.77 billion by 2030, registering a CAGR of 5.4% for the forecast period 2023-2030. Market Dynamics of the Crude Oil Flow Improver Market Driving Factor:

Rising demand for crude oil:

Increasing demand for crude oil in petroleum products is helping to expand the Crude Oil Flow Improver market. The demand for crude oil in petroleum products is increasing due to its uses as a fuel in many equipment-like vehicles, heaters, generators, and others. For instance, In India, 249,621.61 TMT of crude oil was processed for petroleum products in 2022. Additionally, it has high demand in the chemical industry as a raw material for manufacturing several chemicals like plastics, polyurethane, and solvents. However, the use of crude oil flow improver in export and import operations helps ensure the efficient and reliable flow of crude oil throughout the transportation, and storage and supports overall logistics of crude oil export and import. Hence, as crude oil demand increases, the market for crude oil improvers will also rise.

Restraining Factor:

Stringent regulation along with fluctuating crude oil prices:

Stringent regulations regarding manufacturing, sales, import, and export of crude oil are expected to hamper the growth of the crude oil flow improver market. For instance, the International Maritime Organization (IMO) set strict standards to prevent oil pollution for crude oil transportation. This regulation includes requirements for double-hulled tankers, oil spill response plans, and limitations on oil discharge. Moreover, fluctuating prices of crude oil due to global supply & demand, government policies, currency exchange rates, geopolitical guidelines, and others are expected to hinder the growth of the crude oil flow improver market. For instance, As per the Ministry of Energy, Saudi Arabia, the largest exporter country of crude oil, will implement an additional voluntary cut in its production of crude oil from 2023-2024, which will affect the prices of crude oil.

Impact of the COVID-19 Pandemic on the Crude Oil Flow Improver Market: The outbreak of Covid-19 has witnessed a significant impact on the Crude Oil Flow Improver market growth. Due to the lockdown and supply chain disruption, the import and export of raw materials were paused or lowered. Transportation restrictions declined the demand for crude oil. As a COFI was demanded by crude oil and the specialty chemical industry, the lowered demand for crude oil negatively impacted the crude oil flow improver market. Also due to the lockdown, many industries closed, and many oil and gas projects were delayed due to economic uncertainty, hampered the crude oil flow improver market. Post-covid, the supply chain runs smoothly as the guidelines were released and the lockdown opened. Export and import of crude oil resumed so the rising global crude oil industry led to the expansion of the COFI market. What is crude oil?

Crude Oil Flow Improver is a chemical additive that is mostly used in the oil and gas industry to enhance the flow capacity of crude oil. Crude oil has a high viscosity and impurities in its natural state that hamper the flow of oil. For that, the COFI is used to enhance the flow of crude oil. Moreover, Crude Oil Flow Improver is also known as a drag-reducing agent (DRA) as it reduces friction and improves the flow efficiency of crude oil in pipelines. Crude oil flow improver is used as a catalyst to decrease viscosity, lower the pour point, and lower the drag coefficient of crude oil.

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.

The aim of the paper is to provide an ex-post assessment of the impact of the COVID-19 pandemic on food insecurity in the EU-27 countries expressed by physical and economic food access. We analysed trade and price effects, together with food insecurity and malnutrition indicators. Actual levels of the indicators were compared with their pre-pandemic magnitudes and/or with counterfactual levels derived from predictive models. We also aimed to compare the objective statistics with the subjective consumers’ perception of their households’ food security. Our research indicates that the EU food trade was more resilient to COVID-19 impacts than the trade in non-food products, while food trade decreases were of a temporary nature. This did not affect the trade balance significantly; however, the import reduction threatened the physical food access in most EU countries. Regarding economic food access, the results indicate that the increase in food prices was offset by the increase in disposable income. It may suggest that the COVID-19 pandemic did not significantly affect the deterioration of economic access to food in the EU countries. However, the prevalence of severe food insecurity in the total population or the proportion of households reporting inability to afford a meal with meat, chicken, fish, or a vegetarian equivalent increased in 2020–2021 compared to 2019. This means that the comparative analysis of the real data on prices and households’ income, as well as consumer financial situation and food consumption affordability, does not offer a clear answer concerning the impact of the COVID-19 pandemic on the food security of EU households.

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.

Abstract

In the West Africa Economic Monetary Union (WAEMU) countries, 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 is a sub-sample of the Enquête Harmonisée sur les Conditions de Vie des Ménages (EHCVM), a harmonized household survey conducted in 2018/19 household survey in the WAEMU countries.

For Burkina Faso, the survey, which is implemented by the Institut National de la Statistique et la Demographie (INSD), is conducted using cell phone numbers of household members collected during the 2018/19 EHCVM survey. The extensive information collected in the EHCVM provides a rich set of background information for the COVID-19 High Frequency Phone Survey of households. This background information can be leveraged to assess the differential impacts of the pandemic in the country. Every month, the sampled households will be asked a set of core questions on the key channels through which individuals and households are expected to be affected by the COVID-19-related restrictions. Employment, access to basic services, non-labor sources of income are channels likely to be impacted. The core questionnaire is complemented by questions on selected topics that rotate each month. This provides data to the government and development partners in near real-time, supporting an evidence-based response to the crisis.

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.

Phase 1 was conducted on a monthly basis during the period of June 2020 and July 2021 for11 Rounds. Phase 2 (starting from Round 12) was conducted on a bi-monthly basis starting in April 2022. Phase 3 (starting from Round 18) will be conducted on a bi-monthly basis, starting in July 2023.

Geographic coverage

National coverage, including Ouagadougou, rural and other urban

Analysis unit

• Households
• Individuals

Universe

The survey covered a sub-sample of the households of the 2018/19 - Enquête Harmonisée sur le Conditions de Vie des Ménages (EHCVM) survey which excluded populations in prisons, hospitals, military barracks, and school dormitories.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample of the HFS is a subsample of the 2018/19 Harmonized Living Conditions Household Survey (EHCVM). The EHCVM 2018/19 is built on a nationally and regionally representative sample of households in Burkina Faso. EHCVM 2018/19 interviewed 7,010 households in urban and rural areas. In the EHCVM interview, households were asked to provide phone numbers of the household head, or a household member, or a non-household member (e.g. friends or neighbors) so that they can be contacted for follow-up questions. At least one valid phone number was obtained for 6877 households. These households established the sampling frame for the HFS. To obtain representative strata at the national, capital (Ouagadougou), urban, and rural level, the target sample size for the HFS is 1,800 household (assuming a 50% non-response rate the minimum required sample is 1479). To account for non-response and attrition, 2500 households were called in baseline round of the HFS. 1,968 households were fully interviewed during the first round of interviews. Those 1,968 households constitute the final successful sample and will be contacted in subsequent rounds of the survey.

In addition to the 1,968 households successfully interviewed in Round 1, in Round 2, 242 additional households were sampled from the rural strata, in order to increase the representativeness in this domain. In Round 12, 231 additional households were selected from the rural stratum from the 2018/19 EHCVM sample. In Round 18, 858 additional households were selected from panel component of the 2021/22 EHCVM sample.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

BASELINE (Round 1): The Household Questionnaire provides information on demographics; knowledge regarding the spread of COVID-19; behavior and social distancing; access to basic services; employment.

Round 2: Household Roster; Access to Basic Services; Employment (with a focus on non-farm enterprises); Food Security; Shocks; Fragility, conflict, and violence.

Round 3: Household Roster; Knowledge regarding the spread of COVID-19; Behavior and social distancing; Access to Basic Services; Employment (with a focus on farm household activities); Food Security; Other revenues; Social protection.

Round 4: The following modules were administered in Round 4: Household Roster; Access to Basic Services; Credit; Employment and revenue (with a focus on livestock activities); Food Security; Other revenues; Shocks; Fragility, Conflict and Violence.

Round 5: Household Roster; Knowledge regarding the spread of COVID-19; Behavior and social distancing; Access to Basic Services; Education at individual level; Employment; Food Security; Other revenues; Social protection.

Round 6: Household Roster; Access to Basic Services; Education; Employment and revenues (with a focus on harvest activities and revenues from crop selling); Food Security; Other revenues; Shocks; Fragility, conflict and violence.

Round 7: Household Roster; Access to Basic Services; Education; Employment and revenues (with a focus on harvest activities and revenues from crop selling); Food Security; Other revenues; Shocks; Fragility, conflict and violence.

Round 8: Household Roster; Early Child Development; Access to Basic Services; Employment and revenues; Food Security; Other revenues; Shocks; Fragility, conflict and violence.

Round 9: Household Roster; Access to Basic Services; Employment and revenues; Food Security and Other revenues.

Round 10: Household Roster; Mental health; Knowledge regarding the spread of COVID-19; Behavior and social distancing; Covid-19 Testing and Vaccination; Access to Basic Services; Credit; ; Employment and revenue (with a focus on livestock activities); Food Security; Other revenues; Shocks; Concerns regarding the impact of COVID-19 on personal health and financial wealth of the household; Fragility, Conflict and Violence

Round 11: Household basic information; Access to Basic Services; Employment and revenue (with a focus on agricultural activities); Food Security; Other revenues; Concerns regarding the current situation; Social Safety Nets.

Round 12: Household Roster; Covid-19 Vaccination; Access to Health Care; and Employment and Income.

Round 13: Household Roster; Access to Health Care; Credit; Employment and Income; Food Security; Other Revenues; and Economic Sentiments.

Round 14: Household Roster; Access to Health Care; Vaccination; Concerns; Economic Sentiments.

Round 15: Household Roster; Displacement; Education; Access to basic foodstuffs; Employment and Income; Food Security; Other Revenues; Economic Sentiments; Items Price.

Round 16: Household Roster; Access to Health Care; Vaccination; Agriculture; Livestock; Shocks; Climate Change; Economic Sentiments; Items Price.

Round 17: Household Roster; Access to Basic Foodstuffs; Access to HealthCare – individual level; Credit; Employment and Income; Food Security; and Other Revenues.

Round 18: Household Roster; Access to Basic Goods and Services; Access to Health Care – individual level; Price of items; Employment and Income; Food Security; Food Consumption Score; Economic Sentiments; and Subjective Welfare.

Round 19: Household Roster; Access to Basic Goods and Services; Access to Health Care – individual level; Price of items; Employment and Income; Food Security; Shocks; Food Consumption Score; Economic Sentiments; and Subjective Welfare.

Round 20: Households Roster; Access to basic goods and services; Access to Health Care - Individual level; Price ofItems; Employment and Income; Food Security; Food Consumption Score; Economic Sentiments; SubjectiveWelfar.

Round 21: Household Roster; Access to Basic Goods and Services; Education; Price of items; Employment and Income; Agriculture; Livestock; Food Security; Food Consumption Score; Economic Sentiments; Subjective Welfare.

Round 22: Household Roster; Household Mobility; Access to Basic Goods and Services; Price of items; Access to Health Care - individual level; Employment and Income; Food Security; Food Consumption Score; Shocks; Economic Sentiments; and Subjective Welfare.

Round 23: Household Roster; Access to Basic Goods and Services; Price of items; Employment and Income; Food Security; Food Consumption Score; Economic Sentiments; and Subjective Welfare.

All the interview materials were translated in French for the INSD. The questionnaire was administered in local languages with about varying length (about 25 minutes).

Cleaning operations

At the end of data

The global Tire Material market was valued at USD 87.52 billion in 2022 and is projected to reach USD 125.41 billion by 2030, registering a CAGR of 4.6 % for the forecast period 2023-2030. Factors Affecting Tire Material Market Growth

The rapid growth of the automotive industry:

Rising income levels and a huge youth population resulted in strong demand for the automotive industry. Moreover, the interest in exploring rural markets and the increasing logistics and transportation further aided the growth of the sector. Increasing industrialization increases the need for the transportation of raw materials, and finished goods and increases the demand for a commercial vehicle. Technological advancements like the launch of cost-effective electric vehicles which is also helpful to reduce fuel emission anticipated to grow the automotive industry. For instance, Government investment in charging infrastructure for HDV helps to boost demand for electric vehicles. Increasing demand for vehicles led to increased demand for tires and tire materials.

Technological advancement and innovation:

Technological advancement for improving tire performance, durability, and sustainability increases the demand for tire material. This includes the development of innovative materials with superior properties, such as enhanced grip, better traction, improved wear resistance, and increased durability. For instance, Bridgestone, Inc develops a technology to control the molecular structure “NanoPro-Tech™” and it sustains air loss due to puncture. Similarly, Goodyear’s assurance weather-ready tire work irrespective of the climatic condition. These advancements attract consumers and hike up the demand for better-performing tires.

Rules and regulations for tire replacement:

Regulations for tire replacement due to routine tread wear, puncture, improper inflation, puncture, and overloading, increase the demand for tire and tire materials. As per, National Highway Traffic Safety Administration (NHTSA), there is a need for a tire replacement of a vehicle every 6-10 years. Also, the U.S. Department of Transportation advises changing tires when they are 2/32" deep. The need for tire replacement expands the tire material market growth.

The Restraining Factor of Tire Material:

Fluctuating raw material prices: 

The volatile raw material prices due to covid 19 and the Russia-Ukraine war, may restrain the growth of the market. Due to COVID-19, production of the material was stopped, which affect the raw material availability and also responsible for the rise in their price. Moreover, Raw materials like rubber and plasticizers are linked to crude and are more volatile in price due to trade regulations, exchange rates, and geopolitical regulations.

Impact of the COVID-19 Pandemic on the Tire Material Market:

The covid 19 had an adverse impact on the global tire material market. The COVID-19 outbreak compelled governments all over the world to enact strict lockdown measures and limit the import-export of products used to produce raw materials. This caused the supply of crucial raw materials for the car tire sector to decline suddenly. For instance, In the second quarter of 2020, Goodyear Tire and Rubber Company recorded a net loss of USD 696 million. A growing COVID-19 impact resulted in the closure of other facilities, including R&D facilities, distribution routes, supply-demand interactions, retail networks, and other operational areas. Additionally, the distribution and production of vehicles are linked to the manufacturing and selling of car tires. Hence, decreasing automotive sales had an adverse impact on sales and manufacturing of the tire material market during the pandemic. However, travel restrictions were relaxed and business activity picked up in the third quarter of 2020, the global tire material market rebounded. The increased sales of automobiles throughout the world are expected to result in considerable growth for the tire material market. Introduction of Tire Material

Tire material typically refers to various components that form the tire. Different tire material combinations and formulations are used to achieve specific performance characteristics, such as improving grip, durability, fuel efficiency, and noise reduction. The tire generally consists of rubber, reinforcing materials, fillers, steel and fabric ...

The Paycheck Protection Program (PPP) is a $953-billion business loan program established by the United States federal government, led by the Donald Trump administration in 2020 through the Coronavirus Aid, Relief, and Economic Security Act (CARES Act) to help certain businesses, self-employed workers, sole proprietors, certain non-profit organizations, and tribal businesses continue paying their workers.

The Paycheck Protection Program allows entities to apply for low-interest private loans to pay for their payroll and certain other costs. The amount of a PPP loan is approximately equal to 2.5 times the applicant's average monthly payroll costs. In some cases, an applicant may receive a second draw typically equal to the first. The loan proceeds may be used to cover payroll costs, rent, interest, and utilities. The loan may be partially or fully forgiven if the business keeps its employee counts and employee wages stable. The program is implemented by the U.S. Small Business Administration. The deadline to apply for a PPP loan was March 31, 2021.

Some economists have found that the PPP did not save as many jobs as purported and aided too many businesses that were not at risk of going under. They noted that other programs, such as unemployment insurance, food assistance, and aid to state and local governments, would have been more efficient at strengthening the economy. Opponents to this view note that the PPP functioned well to prevent business closures and cannot be measured on the number of jobs saved alone.

According to a 2022 study, the PPP: cumulatively preserved between 2 and 3 million job-years of employment over 14 months at a cost of $169K to $258K per job-year retained. These numbers imply that only 23 to 34 percent of PPP dollars went directly to workers who would otherwise have lost jobs; the balance flowed to business owners and shareholders, including creditors and suppliers of PPP-receiving firms. Program incidence was ultimately highly regressive, with about three-quarters of PPP funds accruing to the top quintile of households. PPP's breakneck scale-up, its high cost per job saved, and its regressive incidence have a common origin: PPP was essentially untargeted because the United States lacked the administrative infrastructure to do otherwise. Harnessing modern administrative systems, other high-income countries were able to better target pandemic business aid to firms in financial distress. Building similar capacity in the U.S. would enable improved targeting when the next pandemic or other large-scale economic emergency inevitably arises.

Additional Information Field: Value Created: April 5, 2022 Format: CSV License: Other (Public Domain) Size: 428.6 MiB

Wildlife strongly alter behavior in response to human disturbance; however, fundamental questions remain regarding the influence of human infrastructure and activity on animal movement. The Covid-19 pandemic created a natural experiment providing an opportunity to evaluate wildlife movement during a period of greatly reduced human activity. Speculation in scientific reviews and the media suggested that wildlife might be increasing movement and colonizing urban landscapes during pandemic slowdowns. However, theory predicts that animals should move and use space as efficiently as possible, suggesting that movement might actually be reduced relative to decreased human activity. We quantified space use, movement, and resource-selection of 12 GPS-collared mountain lions (8 females, 4 males) occupying parklands in greater Los Angeles during the Spring 2020 California stay-at-home order when human activity was far below normal. We also tested the hypothesis that reduced traffic on Los Angeles area roadways increased permeability of these barriers to animal movement. Contrary to expectations that wildlife roamed more widely during pandemic shutdowns, resident mountain lions used smaller areas and moved shorter distances relative to their historical behavior in greater Los Angeles. They also relaxed avoidance of anthropogenic landscape features such as trails and development, which likely facilitated increased traveling efficiency. However, there was no detectable change in road-crossing, despite reduced traffic volume. Our results support the theoretical prediction that animals maximize movement efficiency and suggest that carnivores incur energetic costs while avoiding humans. While mountain lions may restrict movement at the landscape-level relative to barriers, they appear to increase distances moved at finer scales when avoiding human activity - highlighting the scale-dependent nature of animal responses to human disturbance. Avoiding humans can reduce direct mortality of large carnivores and is often suggested to be an important mechanism promoting coexistence in shared landscapes. However, energetic costs incurred by increased movement and space-use while avoiding human activity may have important consequences for population viability, predator-prey interactions, community structure, and human-wildlife conflict. Management providing sufficient wild prey and education regarding best practices for protection of domestic animals are important for conserving large carnivores in human-dominated landscapes.

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.

Analysis of Spanish Apartment Pricing and Size Post-COVID-19

Investigating the Impact of the Pandemic

By [source]

About this dataset

This dataset provides an in-depth insight into Spanish apartment prices, locations and sizes, offering a comprehensive view of the effects of the Covid-19 crisis in this market. By exploring the data you can gain valuable knowledge on how different variables such as number of rooms, bathrooms, square meters and photos influence pricing, as well as key details such as description and whether or not they are recommended by reviews. Furthermore, by comparing average prices per square meter regionally between different areas you can get a better understanding of individual apartment value changes over time. Whether you are looking for your dream home or simply seeking to understand current trends within this sector this dataset is here to provide all the information necessary for both people either starting or already familiar with this industry

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How to use the dataset

This dataset includes a comprehensive collection of Spanish apartments that are currently up for sale. It provides valuable insight into the effects of the Covid-19 pandemic on pricing and size. With this guide, you can take advantage of all the data to explore how different factors like housing surface area, number of rooms and bathrooms, location, number of photos associated with an apartment, type and recommendations affect price.

• First off, you should start by taking a look at summary column which summarizes in one or two lines what each apartment is about. You can quickly search some patterns which could give important information about the market current situation during COVID-19 crisis.

• Explore more in depth each individual apartment by looking at its description section for example if it refers to particular services available like swimming pool or gymnasiums . Consequently those extra features usually bumps up the prices higher since buyers are keen to have such luxury items included in their purchase even if it’s not so affordable sometimes..

• Start studying locationwise since it might gives hint as to what kind preof city we have eirther active market in terms equity investment , home stay rental business activities that suggest opportunities for considerable return on investment (ROI). Even further detailed analysis such as comparing net change over time energy efficient ratings electrical or fuel efficiency , transport facilities , educational level may be conducted when choosing between several apartments located close one another ..

• Consider multiple column ranging from price value provided (price/m2 )to size sqm surface area measure and count number of rooms & bathrooms . Doing so will help allot better understanding whether purchasing an unit is worth expenditure once overall costs per advantages estimated –as previously acknowledged apps features could increase prices significantly- don’t forget security aspect major item critical home choice making process affording protection against Intruders ..

• An interesting but tricky part is Num Photos how many were included –possibly indicates quality build high end projects appreciate additional gallery mentioning quite informative panorama around property itself - while recomendation customarily assumes certain guarantees warranties unique promise provided providing aside prospective buyer safety issues impose trustworthiness matters shared among other future residents …

• Finally type & region column should be taken into account reason enough different categories identifies houses versus flats diversely built outside suburban villas contained inside specially designed mansion areas built upon special requests .. Therefore usage those two complementary field help finding right desired environment accompaniments beach lounge bar attract nature lovers adjacent mountainside

Research Ideas

• Creating an interactive mapping tool that showcases the average prices per square meter of different cities or regions in Spain, enabling potential buyers to identify the most affordable areas for their desired budget and size.
• Developing a comparison algorithm that recommends the best options available depending on various criteria such as cost, rooms/bathrooms, recommended status, etc., helping users make informed decisions when browsing for apartments online.
• Constructing a model that predicts sale prices based on existing data trends and analyses of photos and recommendations associated wit...