How bad is the food shortage in Britain really? Between September 22 and October 3, 2021, an average of ** percent of responding grocery shoppers experienced a shortage of essential food items. Over a fifth of all respondents experienced shortages of non-essential food items. The shortage of food items, brought on by a shortage of lorry drivers in the wake of Brexit, was worst in the North East and East Midlands, where ** percent of respondents experienced a shortage of essential items. Scotland had the highest share of responding consumers experiencing a shortage of other food items. By October the 17th the percentage of respondents experiencing shortages of essential food items in Britain had only declined by *** percent.

Teacher Shortage Areas 2021-22 (TSA 2021-22) is part of the Teacher Shortage Areas (TSA) program; program data are available since 1990?91 at . TSA 2021-22 (https://www2.ed.gov/about/offices/list/ope/pol/tsa.html) is a cross-sectional study that collects information about teaching needs in the 50 United States and the outlying jurisdictions. TSA 2021-22 provides a reference document to notify the nation where states and schools are looking to potentially hire academic administrators, licensed teachers, and other educators and school faculty in specific disciplines/subject areas, grade levels, and/or geographic regions; and where recent graduates of schools of education and trained, experienced teaching professionals aiming to serve school districts with shortages can find (prospective) positions and fill the current voids in each state?s and outlying jurisdiction?s pre-kindergarten through Grade 12 classrooms, in areas that match their certification credentials; as well as to inform Federal financial aid recipients on reducing, deferring, or cancelling/nullifying/discharging student loan payments and meeting other specified (e.g., teaching) obligations.

Throughout 2020 and 2021, commercial construction contractors most often reported suffering shortages in wood and/or lumber, and steel. In the last quarter of 2021, 27 percent of the surveyed contractors suffered a shortage on steel, 19 percent of them in roofing materials, and 17 percent of them in wood and/or lumber. In that same period, more than 90 percent of contractors reported facing shortages in at least one material.

Per California Water Code Section 10609.80 (a), DWR has released an update to the indicators analyzed for the rural communities water shortage vulnerability analysis and a new interactive tool to explore the data. This page remains to archive the original dataset, but for more current information, please see the following pages: - https://water.ca.gov/Programs/Water-Use-And-Efficiency/SB-552/SB-552-Tool - https://data.cnra.ca.gov/dataset/water-shortage-vulnerability-technical-methods - https://data.cnra.ca.gov/dataset/i07-water-shortage-vulnerability-sections - https://data.cnra.ca.gov/dataset/i07-water-shortage-social-vulnerability-blockgroup This dataset is made publicly available pursuant to California Water Code Section 10609.42 which directs the California Department of Water Resources to identify small water suppliers and rural communities that may be at risk of drought and water shortage vulnerability and propose to the Governor and Legislature recommendations and information in support of improving the drought preparedness of small water suppliers and rural communities. As of March 2021, two datasets are offered here for download. The background information, results synthesis, methods and all reports submitted to the legislature are available here: https://water.ca.gov/Programs/Water-Use-And-Efficiency/2018-Water-Conservation-Legislation/County-Drought-Planning Two online interactive dashboards are available here to explore the datasets and findings. https://dwr.maps.arcgis.com/apps/MapSeries/index.html?appid=3353b370f7844f468ca16b8316fa3c7b The following datasets are offered here for download and for those who want to explore the data in tabular format. (1) Small Water Suppliers: In total, 2,419 small water suppliers were examined for their relative risk of drought and water shortage. Of these, 2,244 are community water systems. The remaining 175 systems analyzed are small non-community non-transient water systems that serve schools for which there is available spatial information. This dataset contains the final risk score and individual risk factors for each supplier examined. Spatial boundaries of water suppliers' service areas were used to calculate the extent and severity of each suppliers' exposure to projected climate changes (temperature, wildfire, and sea level rise) and to current environmental conditions and events. The boundaries used to represent service areas are available for download from the California Drinking Water System Area Boundaries, located on the California State Geoportal, which is available online for download at https://gispublic.waterboards.ca.gov/portal/home/item.html?id=fbba842bf134497c9d611ad506ec48cc (2) Rural Communities: In total 4,987 communities, represented by US Census Block Groups, were analyzed for their relative risk of drought and water shortage. Communities with a record of one or more domestic well installed within the past 50 years are included in the analysis. Each community examined received a numeric risk score, which is derived from a set of indicators developed from a stakeholder process. Indicators used to estimate risk represented three key components: (1) the exposure of suppliers and communities to hazardous conditions and events, (2) the physical and social vulnerability of communities to the exposure, and (3) recent history of shortage and drought impacts. The unit of analysis for the rural communities, also referred to as "self-supplied communities" is U.S. Census Block Groups (ACS 2012-2016 Tiger Shapefile). The Census Block Groups do not necessarily represent socially-defined communities, but they do cover areas where population resides. Using this spatial unit for this analysis allows us to access demographic information that is otherwise not available in small geographic units.

As of October 2024, approximately *** percent of businesses in the United Kingdom reported that they were experiencing a worker shortage, compared with **** percent in September 2022.

In a 2021 survey, over **** of surveyed supply chain professionals stated that they found supply chain disruptions and shortages extremely or very challenging. During the survey, demand-side challenges, such as faster response time were cited among the most difficult hurdles supply chain companies face.

IntroductionDrug shortages pose a serious global public health challenge, affecting China and other countries. Evidence from USA shows that short-supplied drugs demonstrated a very high price growth during and after a shortage. However, the effect of shortages on drug prices in China remains unknown. This paper aims to understand the impact of drug shortages on prices and explore implications for shortage prevention policy.MethodsWe collected the purchase prices and delivery rates of 120 drugs from April 2019 to December 2021 across whole China. We examined price progression of affected drugs using linear mixed-effects models and performed subgroup analyses based on the number of manufacturers and the severity of shortage.ResultsNon-shortage cohort had an annual price growth of 11.62% (95% confidence interval [CI] 8.34 to 14.98). Shortage cohort demonstrated an annual price growth of 8.08% (95%CI 0.12 to 16.77) in the period preceding a shortage, 27.57% (95%CI 6.17 to 52.87) during a shortage, and 9.38% (95%CI −12.64 to 36.39) in the post-shortage period. Drug shortages’ impact on prices varied across subgroups. Compared with that of drug markets supplied by a single manufacturer, the price growth rate of markets supplied by more than one manufacture declined more after the shortage resolution.ConclusionShortages resulted in significant price increases of study markets, especially the low-priced markets, while the shortage resolution slowed the growth. The primary shortage driver has shifted from the low price to others drivers, such as unavailability of active pharmaceutical ingredients. For currently sole-supplied drugs, the expedited review of applications from other manufacturers should be considered.

NFER surveyed nationally-representative samples of senior leaders with responsibility for staffing in autumn 2020 and autumn 2021. The aim of the surveys was to gather information about senior leaders’ experience of teacher recruitment, retention and what actions, if any, they had taken to manage shortages. The surveys also explored the level of difficulty schools found teacher recruitment in different key stages and subjects and gathered information about how schools currently deal with shortages in the most challenging subjects.

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.

On behalf of the Press and Information Office of the Federal Government, the polling institute Forschungsgruppe Wahlen conducted a representative survey in March 2021 to examine respondents´ trust in the state and in society. The current survey wave builds on two survey waves in April 2020 and June/July 2020. The current survey focused on respondents´ attitudes towards the state and their trust in institutions and in actors, their assessment of the Corona measures and their expectations in the Corona crisis (COVID-19). The image of society, assessments of cohesion during the pandemic and experiences during the Corona crisis were also recorded.
Greatest personal burden or restriction in the context of the Corona crisis; further great burden or restriction; trust in institutions (courts, science and research, churches, police, federal government, politicians, parties, media); satisfaction with democracy; assessment of democracy as a form of government; social lines of conflict; lines of conflict between external parties; assessment of leaders in Germany; attitudes towards the role of the state in the Corona crisis; assessment of individual measures to combat the pandemic; responsibilities in the Corona crisis (federal government/ state/ city); assessment of the support measures of the federal government (for companies and businesses, for employees in health and care facilities, to protect the health of the population, for the economic situation of the population); assessment of people´s behaviour in the pandemic; assessment of people´s behaviour in the case of recommendations for action instead of rules; feeling of restriction due to the Corona crisis and the measures associated with it; effects on the financial situation; experiences with a health authority (e.g. because of a Corona test), with an employment agency, authorities, police/regulation office in the context of the Corona crisis; evaluation of these experiences; assessment of cohesion in society during the Corona crisis and afterwards; assessment of cohesion in personal surroundings; party sympathy; satisfaction with life; optimism about the future; trust in humanity.

Demography: sex; age; education: school-leaving qualification or school-leaving qualification aspired to; university degree; occupation; job security; type of occupation; professional position; public service; household size; number of persons in household aged 18 and over; German citizenship.

Additionally coded were: Respondent ID; federal state; Berlin East/West; city size; weighting factors (with and without linear correction); information for dual-frame weighting (reached via mobile or landline).

According to a survey conducted in South Korea in 2021, more than 90 percent of respondents in their 60s and above answered that they thought the current climate crisis was severe or very severe. In comparison, around 80 percent of respondents in their 20s and 30s had the same response.

This dataset captures the urgent pleas and global responses related to India's severe oxygen crisis during a significant wave of the COVID-19 pandemic. It reflects the critical situation where hospitals faced shortages of life-saving oxygen, beds, and anti-viral drugs, leading to mass cremations and widespread public distress. The tweets collected represent the direct voices of individuals in India requesting assistance and people worldwide appealing to their respective countries for support, particularly with oxygen supplies. It offers a unique insight into the emotional and humanitarian aspects of the crisis, serving as a record of a critical moment in the pandemic.

Columns

• user_name: The name defined by the user for their account.
• user_location: The user-defined geographical location associated with the account profile.
• user_description: A UTF-8 string provided by the user to describe their account.
• user_created: The specific time and date when the user account was established.
• user_followers: The current count of followers an account has.
• user_friends: The current count of accounts a user is following.
• user_favourites: The current number of tweets a user has marked as favourites.
• user_verified: A Boolean indicator, true if the user's account is verified.
• date: The UTC time and date when the Tweet was originally created.
• text: The actual UTF-8 text content of the Tweet.
• hashtags: All additional hashtags included in the tweet, alongside #IndiaWantsOxygen.
• source: The utility or platform used to post the Tweet (e.g., 'web' for Twitter website).
• is_retweet: Indicates whether the authenticating user has retweeted this specific Tweet.

Distribution

The dataset is structured as a collection of tweets, typically provided in a tabular format such as CSV. It consists of 25,440 tweets and is designed to be updated on a daily basis, ensuring its relevance and increasing its size over time.

Usage

This dataset is ideal for various analytical applications, including: * Exploratory Data Analysis (EDA) to uncover patterns and trends in public sentiment and crisis communication. * Natural Language Processing (NLP) for sentiment analysis, topic modelling, and understanding key themes in crisis-related social media discourse. * Data Visualisation to illustrate the geographic spread of calls for help, the volume of tweets over time, and the impact of the crisis. * Studying the societal impact of global health crises and the role of social media in humanitarian aid. * Analysing public appeals and aid coordination during emergencies.

Coverage

The dataset primarily covers tweets made with the #IndiaNeedsOxygen hashtag, focusing on the past week from its initial collection, with daily updates. The content reflects the situation across India, with people from all over the globe also participating by asking their countries to support India with oxygen tanks. The date range of tweets included generally spans from April to August 2021, with a concentration in April.

License

CC0

Who Can Use It

• Data scientists and analysts can use it to derive valuable information and insights into public health crises and humanitarian responses.
• Researchers studying social media trends, public sentiment during disasters, or the effectiveness of online advocacy.
• Non-governmental organisations (NGOs) and aid agencies to understand real-time needs and public discourse during crises.
• Students and educators for projects in data science, public health, or social studies.

Dataset Name Suggestions

• India Oxygen Crisis Tweets
• COVID-19 India Oxygen Pleas
• #IndiaNeedsOxygen Twitter Data
• India Pandemic Help Tweets
• Global Oxygen Crisis Social Data

Attributes

Original Data Source: #IndiaNeedsOxygen Tweets

The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. We are compiling this time series data from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak.

Since late January, The Times has tracked cases of coronavirus in real time as they were identified after testing. Because of the widespread shortage of testing, however, the data is necessarily limited in the picture it presents of the outbreak.

We have used this data to power our maps and reporting tracking the outbreak, and it is now being made available to the public in response to requests from researchers, scientists and government officials who would like access to the data to better understand the outbreak.

The data begins with the first reported coronavirus case in Washington State on Jan. 21, 2020. We will publish regular updates to the data in this repository.

This dataset is made publicly available pursuant to California Water Code Section 10609.42 which directs the California Department of Water Resources to identify small water suppliers and rural communities that may be at risk of drought and water shortage vulnerability and propose to the Governor and Legislature recommendations and information in support of improving the drought preparedness of small water suppliers and rural communities. As of March 2021, two datasets are offered here for download. The background information, results synthesis, methods and all reports submitted to the legislature are available here: https://water.ca.gov/Programs/Water-Use-And-Efficiency/2018-Water-Conservation-Legislation/County-Drought-Planning Two online interactive dashboards are available here to explore the datasets and findings. https://dwr.maps.arcgis.com/apps/MapSeries/index.html?appid=3353b370f7844f468ca16b8316fa3c7b

The following datasets are offered here for download and for those who want to explore the data in tabular format.

(1) Small Water Suppliers: In total, 2,419 small water suppliers were examined for their relative risk of drought and water shortage. Of these, 2,244 are community water systems. The remaining 175 systems analyzed are small non-community non-transient water systems that serve schools for which there is available spatial information. This dataset contains the final risk score and individual risk factors for each supplier examined. Spatial boundaries of water suppliers' service areas were used to calculate the extent and severity of each suppliers' exposure to projected climate changes (temperature, wildfire, and sea level rise) and to current environmental conditions and events. The boundaries used to represent service areas are available for download from the California Drinking Water System Area Boundaries, located on the California State Geoportal, which is available online for download at https://gispublic.waterboards.ca.gov/portal/home/item.html?id=fbba842bf134497c9d611ad506ec48cc

(2) Rural Communities: In total 4,987 communities, represented by US Census Block Groups, were analyzed for their relative risk of drought and water shortage. Communities with a record of one or more domestic well installed within the past 50 years are included in the analysis. Each community examined received a numeric risk score, which is derived from a set of indicators developed from a stakeholder process. Indicators used to estimate risk represented three key components: (1) the exposure of suppliers and communities to hazardous conditions and events, (2) the physical and social vulnerability of communities to the exposure, and (3) recent history of shortage and drought impacts. The unit of analysis for the rural communities, also referred to as "self-supplied communities" is U.S. Census Block Groups (ACS 2012-2016 Tiger Shapefile). The Census Block Groups do not necessarily represent socially-defined communities, but they do cover areas where population resides. Using this spatial unit for this analysis allows us to access demographic information that is otherwise not available in small geographic units.

The COVID-19 crisis is manifold and poses major health, economic and social challenges for current societies. Long-term monitoring of central values and attitudes of citizens in times of crises help to grasp current social and political tensions. Taking this ambition to the global scale and providing comparable data across nations is the main aim of the Values in Crisis Study (VIC). Christian Welzel, together with well-known researchers in Germany, UK and Sweden initiated the study and finally 18 countries collaborated in this project. Currently, the Values in Crisis (VIC) Survey is by our knowledge the only international longitudinal survey project on attitudes and values providing data on a global scale. Τhe first wave of Greece is available, through the EKKE repository on SoDaNet Data Catalogue where the data and questionnaires are available in Greek and English. A second and a third wave will take place in 2021 and 2022. In 2022 it is assumed that we will be at the end of the pandemic, when a fully comparative picture of the values of Greeks at the beginning, middle and end of the pandemic will exist.

After May 3, 2024, this dataset and webpage will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, and hospital capacity and occupancy data, to HHS through CDC’s National Healthcare Safety Network. Data voluntarily reported to NHSN after May 1, 2024, will be available starting May 10, 2024, at COVID Data Tracker Hospitalizations.

The following dataset provides state-aggregated data for hospital utilization in a timeseries format dating back to January 1, 2020. These are derived from reports with facility-level granularity across three main sources: (1) HHS TeleTracking, (2) reporting provided directly to HHS Protect by state/territorial health departments on behalf of their healthcare facilities and (3) National Healthcare Safety Network (before July 15).

The file will be updated regularly and provides the latest values reported by each facility within the last four days for all time. This allows for a more comprehensive picture of the hospital utilization within a state by ensuring a hospital is represented, even if they miss a single day of reporting.

No statistical analysis is applied to account for non-response and/or to account for missing data.

The below table displays one value for each field (i.e., column). Sometimes, reports for a given facility will be provided to more than one reporting source: HHS TeleTracking, NHSN, and HHS Protect. When this occurs, to ensure that there are not duplicate reports, prioritization is applied to the numbers for each facility.

On April 27, 2022 the following pediatric fields were added: