Abstract

Key components of the WFSO database cover the prevalence of severe food insecurity, including estimates for countries lacking official data, population sizes of the severely food insecure, and required safety net financing. Data is presented in a user-friendly format.

WFSO data primarily relies on hunger and malnutrition data from the State of Food Security and Nutrition in the World (SOFI) report, led by the Food and agriculture Organization (FAO) in collaboration with multiple UN agencies. WFSO complements SOFI data by providing estimates for unreported countries. Historical estimates are produced with a machine learning model leveraging World Development Indicators (WDI) for global coverage.

Financing needs for safety nets are calculated similarly to past approaches by the International Development Association (IDA) to assess food insecurity response needs (IDA (2020) and IDA (2021)). Preliminary estimates and projections rely on the same model and incorporate International Monetary Fund (IMF)'s World Economic Outlook (WEO) growth and inflation forecasts. WEO data reflects the IMF's expert analysis from various sources, including government agencies, central banks, and international organizations.

Minor gaps in WDI data inflation data are replaced with unofficial WEO estimates. Minor inflation data gaps not covered by both, are replaced with unofficial inflation estimates from the World Bank's Real Time Food Prices (RTFP) data.

The WFSO is updated three times a year, coinciding with IMF's WEO and SOFI releases. It provides food security projections that align with economic forecasts, aiding policymakers in integrating food security into economic planning.

The WFSO database serves various purposes, aiding World Bank economists and researchers in economic analysis, policy recommendations, and the assessment of global financing needs to address food insecurity.

Additionally, the WFSO enhances transparency in global food security data by tracking regional and global figures and breaking them down by individual countries. Historical estimates support research and long-term trend assessments, especially in the context of relating outlooks to past food security crises.

Geographic coverage

World

Geographic coverage notes

191 countries and territories mutually included by the World Bank's WDI and IMF's WEO databases. The country coverage is based on mutual inclusion in both the World Bank World Development Indicators database and the International Monetary Fund’s World Economic Outlook database. Some countries and territories may not be covered. Every attempt is made to provide comprehensive coverage. To produce complete historical predictions, missing data in the WDI are completed with unofficial data from the WEO and the World Bank's RTFP data when inflation data is not available in either database. Final gaps in the WDI and WEO are interpolated using a Kernel-based pattern-matching algorithm. See background documentation for equations.

Analysis unit

Country

Kind of data

Process-produced data [pro]

Main data files comprise 22 variables in three subcategories of risk (political, financial, and economic) for 146 countries for 1984-2021. Data are annual averages of the components of the ICRG Risk Ratings (Tables 3B, 4B, and 5B) published in the International Country Risk Guide. Indices include: political: government stability, socioeconomic conditions, investment profile, internal conflict, external conflict, corruption, military in politics, religion in politics, law and order, ethnic tensions, democratic accountability, and bureaucratic quality; financial: foreign debt, exchange rate stability, debt service, current account, international liquidity; and economic: inflation, GDP per head, GDP growth, budget balance, current account as % of GDP. Table 2B provides annual averages of the composite risk rating. Table 3Ba provides historical political risk subcomponents on a monthly basis from May 2001-February 2022. Also includes the IRIS-3 dataset by Steve Knack and Philip Keefer, which covers the period of 1982-1997 and computed scores for six additional political risk variables: corruption in government, rule of law, bureaucratic quality, ethnic tensions, repudiation of contracts by government, and risk of expropriation. Additional data files provide country risk ratings and databanks (economic and social indicators) for new emerging markets for 2000-2009.

Snapshot img

The autonomous data platform market share should rise by USD 1.37 billion from 2021 to 2025 at a CAGR of 19.18%.

This autonomous data platform market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers market segmentation by deployment (on-premise and cloud) and geography (North America, Europe, APAC, South America, and MEA). The autonomous data platform market report also offers information on several market vendors, including Alteryx Inc., Ataccama Corp., Cloudera Inc., Denodo Technologies Inc., DvSum Inc., DXC Technology Co., Hewlett Packard Enterprise Co., Idera Inc., International Business Machines Corp., and Oracle Corp. among others.

What will the Autonomous Data Platform Market Size be in 2021?

To Unlock the Autonomous Data Platform Market Size for 2021 and Other Important Statistics, Download the Free Report Sample!

Autonomous Data Platform Market: Key Drivers and Trends

The increasing unstructured data from interconnected devices and social media is notably driving the autonomous data platform market growth, although factors such as complex analytical process and managing data quality may impede market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the autonomous data platform industry. The holistic analysis of the drivers will help in predicting end goals and refining marketing strategies to gain a competitive edge.

This autonomous data platform market analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. The actionable insights on the trends and challenges will help companies evaluate and develop growth strategies for 2021-2025.

Who are the Major Autonomous Data Platform Market Vendors?

The report analyzes the market’s competitive landscape and offers information on several market vendors, including:

Alteryx Inc.
Ataccama Corp.
Cloudera Inc.
Denodo Technologies Inc.
DvSum Inc.
DXC Technology Co.
Hewlett Packard Enterprise Co.
Idera Inc.
International Business Machines Corp.
Oracle Corp.

The vendor landscape of the autonomous data platform market entails successful business strategies deployed by the vendors. The autonomous data platform market is fragmented and the vendors are deploying various organic and inorganic growth strategies to compete in the market.

To make the most of the opportunities and recover from post COVID-19 impact, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments.

Download a free sample of the autonomous data platform market forecast report for insights on complete key vendor profiles. The profiles include information on the production, sustainability, and prospects of the leading companies.

Which are the Key Regions for Autonomous Data Platform Market?

For more insights on the market share of various regions Request for a FREE sample now!

48% of the market’s growth will originate from North America during the forecast period. US and Canada are the key markets for autonomous data platforms in North America.

The report offers an up-to-date analysis of the geographical composition of the market. North America has been recording a significant growth rate and is expected to offer several growth opportunities to market vendors during the forecast period. The rising adoption of cognitive computing technology and advanced analytics will facilitate the autonomous data platform market growth in North America over the forecast period. The report offers an up-to-date analysis of the geographical composition of the market, competitive intelligence, and regional opportunities in store for vendors.

What are the Revenue-generating Deployment Segments in the Autonomous Data Platform Market?

To gain further insights on the market contribution of various segments Request for a FREE sample

The autonomous data platform market share growth by the on-premise segment has been significant. This report provides insights on the impact of the unprecedented outbreak of COVID-19 on market segments. Through these insights, you can safely deduce transformation patterns in consumer behavior, which is crucial to gauge segment-wise revenue growth during 2021-2025 and embrace technologies to improve business efficiency.

This report provides an accurate prediction of the contribution of all the segments to the growth of the autonomous data platform market size. Furthermore, our analysts have indicated actionable market insights on post COVID-19 impact on each segment, which is crucial to predict change in consumer demand.

    Autonomous Data Platform Mar

AQI App Market Outlook

The global AQI (Air Quality Index) App market size was estimated at USD 400 million in 2023 and is projected to reach USD 1.5 billion by 2032, growing at a CAGR of 15.5% during the forecast period. This rapid expansion can be attributed to the increasing public awareness of air quality issues, technological advancements, and the proliferation of smartphones and internet connectivity. The rising cases of respiratory diseases and the heightened focus on environmental conservation further fuel the demand for AQI apps, driving market growth significantly.

The surge in environmental consciousness among individuals plays a critical role in the growth of the AQI App market. With urbanization and industrial activities intensifying, air pollution has become a major concern globally. Consequently, consumers are becoming more proactive in monitoring air quality to make informed decisions about their health and activities. The proliferation of smartphones, coupled with better internet accessibility, has made it easier for consumers to access real-time air quality data through AQI apps. This trend is expected to continue, significantly contributing to market expansion.

Technological advancements have also been a major driving force in the AQI App market. Innovations in data analytics, machine learning, and cloud computing have enabled the development of more sophisticated and accurate AQI apps. These applications can now provide real-time monitoring, forecasting, and alerts, making them indispensable tools for individuals and organizations concerned about air quality. The integration of IoT devices, such as air quality sensors, has further enhanced the functionality of these apps, ensuring that users receive precise and timely information.

Government initiatives and regulations aimed at improving air quality standards have propelled the demand for AQI apps. Governments and environmental agencies worldwide are increasingly adopting these apps to monitor air quality at various levels. Policies encouraging public participation in air quality monitoring have also increased the download and use of these applications. Additionally, collaborations between governments and private tech companies to develop and disseminate AQI apps further stimulate market growth.

From a regional perspective, North America and Europe are currently leading the AQI App market due to their advanced technological infrastructure and stringent environmental regulations. However, the Asia Pacific region is expected to witness the highest growth rate over the forecast period. Rapid urbanization, industrialization, and growing awareness about air quality issues in countries like China and India are driving the demand for AQI apps in this region. Government initiatives aimed at combating air pollution are further expected to boost market growth in Asia Pacific.

Platform Analysis

The AQI App market can be segmented based on platforms into iOS, Android, and Web-based. The iOS platform has historically been strong due to Apple’s robust ecosystem and user base. iOS users often seek high-quality, reliable applications, and the stringent app review process ensures that only the best AQI apps are available on the App Store. This segment is expected to maintain steady growth as Apple continues to innovate and expand its user base globally. The trust that iOS users place in app security and reliability makes this segment a significant contributor to the market.

On the other hand, the Android platform holds the largest market share due to the widespread adoption of Android devices worldwide. The open-source nature of Android allows for a diverse array of AQI apps, catering to various user needs and preferences. The flexibility and customizability of Android apps make it a popular choice among developers and users alike. This platform is expected to continue growing as more users in emerging markets gain access to affordable Android devices, thereby increasing the adoption of AQI apps.

The Web-based segment also plays a crucial role in the AQI App market. These applications are accessible from any device with internet connectivity, making them versatile and convenient. Web-based AQI apps are particularly useful for organizations and government agencies that require robust, scalable solutions for air quality monitoring. The ability to integrate with various data sources and provide comprehensive analytics makes web-based platforms an essential component of the market. As internet accessibility improves globally, the demand for web-based AQI apps is expected t

Download Free Sample
The bone cement market is expected to grow at a CAGR of 5% during the forecast period. Increasing rate of adoption of minimally invasive techniques, drivers.2, and drivers.3 are some of the significant factors fueling bone cement market growth.

Increasing rate of adoption of minimally invasive techniques

Technavio categorizes the global bone cement market as a part of the global healthcare supplies market that primarily covers manufacturers of medical products, including all categories of supplies such as consumables and disposables like safety needles, syringes, and catheters. The parent, global healthcare supplies market, covers products and companies engaged in R&D of a variety of product categories spanned across medical consumables that are used for the diagnosis and treatment of various diseases. The global healthcare market was valued at $1.72 trillion in 2019 and is expected to grow at a moderate pace. The global healthcare supplies market, which is a part of the global healthcare market, was valued at $27.31 bn in the same year. Technavio calculates the global healthcare supplies market size based on the combined revenue generated by manufacturers of medical supplies such as syringes, drapes, gloves, and gowns. Growth in the global healthcare supplies market will be driven by the following factors: Increasing life expectancy: The proportion of the global population over the age of 60 years is forecast to increase significantly. By 2050, nearly one-fourth of the US population is projected to be over 60 years, while Europe is likely to reach a similar proportion by 2030. Moreover, some large economies in Asia, such as Japan, already has one-third of its population above 60 years of age. China is expected to have almost half of its population above 60 years by around 2050. This geriatric population requires more medical attention leading to higher spending on healthcare. Expanding access to improved healthcare in emerging economies: With good economic growth across emerging markets in Asia and Africa, since 2000, leading to higher income levels, access to healthcare has also improved. The governments are also spending more on healthcare with a focus on improving the quality of care. Most of this growth has come from emerging countries and low-income regions. Sedentary lifestyle gaining pace: Sedentary lifestyle is the consequence of urbanization, an unhealthy diet, and decreasing levels of physical activity. It is a significant global health concern, with about one-fourth of the population in large economies like the US and China leading a physically inactive lifestyle. A sedentary lifestyle is anticipated to influence and change the nature of healthcare spending. Technavio expects healthcare spending to increase and move away from communicable diseases to chronic care. Increase in cases of chronic conditions: The number of chronic disease cases has been rising globally. The majority of the US population currently lives with at least one chronic condition. In 2018, China reached a “tipping point” by recording the highest number of early deaths due to chronic diseases. Going forward, the incidence of chronic cases is expected to be much higher than that of infectious diseases. Increasing number of surgical procedures: The increase in the number of surgical procedures due to the growing prevalence of various disorders requiring surgical interventions, and the rise in chronic conditions, apart from increasing cases of accidents and injuries, is leading to a rise in demand for medical supplies. Growing focus on infection control: Globally, hospital-acquired infections are major sources of concern among people receiving healthcare. For middle- and low-income economies, the rate of infection is much higher compared with patients in developed economies who receive healthcare of better quality. One way of countering this is to improve the conditions of healthcare facilities and provide healthcare supplies of better quality. Demand for better healthcare will push sales: Rapid urbanization in developing economies in Asia has created a demand for a high standard of healthcare and is expected to drive volume sales of healthcare supplies. Growth generated by emerging segments in healthcare: Growing adoption of healthcare supplies for home-based healthcare, home medical devices, and other advanced application areas such as robotic surgery will aid in the growth of this market. Increased healthcare spend is driving healthcare budgets. It is pushing governments to create cost pressure in the sector, which is a challenge. Some of the key cost and other pressures faced by the healthcare sector are listed below. Pricing pressure by governments: To reduce per capita healthcare spending, governments are increasingly trying to reduce costs related to the various stakeholders that include insurers, healthcare institutions, and manufacturers. Reimbursement reforms: To make healthcare more affordable for

The Global Competitiveness Index (GCI) 4.0, developed by the World Economic Forum, tracks the performance of 140 countries across 12 pillars of competitiveness: Institutions, Infrastructure, ICT Adoption, Macroeconomic Stability, Health, Skills, Product Market, Labor Market, Financial System, Market Size, Business Dynamism, and Innovation Capability. A country’s performance on the overall GCI and each of its components is reported as a ‘progress score’ on a 0-to-100 scale, where 100 represents the ‘frontier’—an ideal state where an issue no longer constrains productivity growth. The GCI 4.0 framework was introduced in the 2018 edition of the Global Competitiveness Report.

Download Free Sample
The bone cement market is expected to grow at a CAGR of 5% during the forecast period. Increasing rate of adoption of minimally invasive techniques, drivers.2, and drivers.3 are some of the significant factors fueling bone cement market growth.

Increasing rate of adoption of minimally invasive techniques

Technavio categorizes the global bone cement market as a part of the global healthcare supplies market that primarily covers manufacturers of medical products, including all categories of supplies such as consumables and disposables like safety needles, syringes, and catheters. The parent, global healthcare supplies market, covers products and companies engaged in R&D of a variety of product categories spanned across medical consumables that are used for the diagnosis and treatment of various diseases. The global healthcare market was valued at $1.72 trillion in 2019 and is expected to grow at a moderate pace. The global healthcare supplies market, which is a part of the global healthcare market, was valued at $27.31 bn in the same year. Technavio calculates the global healthcare supplies market size based on the combined revenue generated by manufacturers of medical supplies such as syringes, drapes, gloves, and gowns. Growth in the global healthcare supplies market will be driven by the following factors: Increasing life expectancy: The proportion of the global population over the age of 60 years is forecast to increase significantly. By 2050, nearly one-fourth of the US population is projected to be over 60 years, while Europe is likely to reach a similar proportion by 2030. Moreover, some large economies in Asia, such as Japan, already has one-third of its population above 60 years of age. China is expected to have almost half of its population above 60 years by around 2050. This geriatric population requires more medical attention leading to higher spending on healthcare. Expanding access to improved healthcare in emerging economies: With good economic growth across emerging markets in Asia and Africa, since 2000, leading to higher income levels, access to healthcare has also improved. The governments are also spending more on healthcare with a focus on improving the quality of care. Most of this growth has come from emerging countries and low-income regions. Sedentary lifestyle gaining pace: Sedentary lifestyle is the consequence of urbanization, an unhealthy diet, and decreasing levels of physical activity. It is a significant global health concern, with about one-fourth of the population in large economies like the US and China leading a physically inactive lifestyle. A sedentary lifestyle is anticipated to influence and change the nature of healthcare spending. Technavio expects healthcare spending to increase and move away from communicable diseases to chronic care. Increase in cases of chronic conditions: The number of chronic disease cases has been rising globally. The majority of the US population currently lives with at least one chronic condition. In 2018, China reached a “tipping point” by recording the highest number of early deaths due to chronic diseases. Going forward, the incidence of chronic cases is expected to be much higher than that of infectious diseases. Increasing number of surgical procedures: The increase in the number of surgical procedures due to the growing prevalence of various disorders requiring surgical interventions, and the rise in chronic conditions, apart from increasing cases of accidents and injuries, is leading to a rise in demand for medical supplies. Growing focus on infection control: Globally, hospital-acquired infections are major sources of concern among people receiving healthcare. For middle- and low-income economies, the rate of infection is much higher compared with patients in developed economies who receive healthcare of better quality. One way of countering this is to improve the conditions of healthcare facilities and provide healthcare supplies of better quality. Demand for better healthcare will push sales: Rapid urbanization in developing economies in Asia has created a demand for a high standard of healthcare and is expected to drive volume sales of healthcare supplies. Growth generated by emerging segments in healthcare: Growing adoption of healthcare supplies for home-based healthcare, home medical devices, and other advanced application areas such as robotic surgery will aid in the growth of this market. Increased healthcare spend is driving healthcare budgets. It is pushing governments to create cost pressure in the sector, which is a challenge. Some of the key cost and other pressures faced by the healthcare sector are listed below. Pricing pressure by governments: To reduce per capita healthcare spending, governments are increasingly trying to reduce costs related to the various stakeholders that include insurers, healthcare institutions, and manufacturers. Reimbursement reforms: To make healthcare more affordable for

Graph and download economic data for Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over (LES1252881600Q) from Q1 1979 to Q2 2025 about full-time, salaries, workers, earnings, 16 years +, wages, median, real, employment, and USA.

This feature class includes monitoring data collected nationally to understand the status, condition, and trend of resources on BLM lands. Data are collected in accordance with the BLM Assessment, Inventory, and Monitoring (AIM) Strategy. The AIM Strategy specifies a probabilistic or targeted sampling design, structured implementation, standard core methods and indicators, electronic data capture and management, and integration with remote sensing. Each record represents a sample visit during which a suite of the BLM Riparian and Wetland AIM methods were applied, with the geometry marking the center of the plot as taken in the Plot Characterization form. Attributes are the BLM Riparian and Wetland AIM core indicators, which include plot-level measures of vegetation and soil condition such as plant species cover and composition, plant height, and woody structure. In addition, some plots may have some contingent and annual use indicators, including measures of hummock cover and characteristics, water quality, stubble height, soil alteration, and riparian woody use. Data were collected and managed by BLM Field Offices, BLM Districts, and/or affiliated field crews with support from the BLM National Operations Center. Data are stored in a centralized database (BLM AIM Wetland Database) at the BLM National Operations Center. Annual Use data (i.e., annual use indicators) are omitted from the public version of these data but can be made available upon request. General Definitions The species list used for data collection was originally developed from a full download of all species in USDA PLANTS shown as occurring in BLM-administered states. The state-level occurrence of species in this list have been adjusted over time as individual species were found to be missing from individual state lists. Traits used in indicator calculations for all species observed at a given monitoring plot can be found in the I_SpeciesIndicator feature service, where the traits are listed by plant. A full species list can also be provided by request by the National Riparian and Wetland AIM Team. Once finalized, it will be added to the WetlandAIM database, likely in spring of 2024. In general, traits are assigned at the species-level. Genera and family-level records were only given trait values if all species within that taxonomic group were considered to have one trait (e.g., all species of Tamarix are nonnative, so the genus level code is also considered nonnative). To assign Growth Habit and Duration to unknown plants, information recorded in the Unknown Plants form was used to fill in traits. For example, if a plant was identified as a Carex species (unknown code CAREX_01), the growth habit (graminoid) would be taken from the full species list since all Carex species are graminoids, and the duration would be taken from the plot-specific matching entry in Unknown Plants. Nativity Status: The nativity status of all species was taken from the USDA Plants Database and was ranked at a national scale. All plants identified to species are ‘Native’, ‘Nonnative’, or ‘Cryptogenic’. The term cryptogenic refers to species with both native and nonnative genotypes. Genera and family-level plants were only given a nativity status if all species within that taxonomic group were considered either native or nonnative (e.g. all species of Tamarix are nonnative, so the genus level code is also considered nonnative). Noxious: Noxious status are designated for each political state (i.e. StateCode) developed using the most recent state noxious list available online. Wetland Indicator Status: Wetland Indicator Status was taken from the U.S. Army Corps of Engineers’ National Wetland Plant List (NWPL 2020, version 3.5; https://wetland-plants.usace.army.mil/). Plants are ranked by ecoregion into one of the following rating categories based on an estimated frequency with which it is thought to occur in wetlands: obligate (OBL), facultative wetland (FACW), facultative (FAC), facultative upland (FACU), or upland (UPL), The five rating categories were first developed through an exhaustive review of the botanical literature and best professional judgement of national and regional experts, and has since undergone multiple rounds of revision by a national panel. C-Values: Coefficients of Conservatism (C-values) are assigned to species by a panel of experts, typically at a state level. C-values range from 0 to 10 and represent an estimated probability that a plant is likely to occur in a landscape relatively unaltered from pre-European settlement conditions (see table of C-Value Interpretation below). The Mean C-value is calculated at a plot level by averaging the C-values of all species in a given plot. Mean C-value is a stand-alone indicator of floristic quality, one of several indicators under the Floristic Quality Assessment (FQA) approach to assesses the degree of "naturalness" of an area. C-Value Interpretation 0 = Non-native species. Very prevalent in new ground or non-natural areas 1-3 = Commonly found in non-natural areas 4-6 = Equally found in natural and non-natural areas 7-9 = Obligate to natural areas but can sustain some habitat degradation 10 = Obligate to high-quality natural areas (relatively unaltered from pre-European settlement) C-values were compiled from several sources, listed below. CO = Smith, P., G. Doyle, and J. Lemly. 2020. Revision of Colorado’s Floristic Quality Assessment Indices. Colorado Natural Heritage Program, Colorado State University, Fort Collins, Colorado. MT = Pipp, Andrea. 2017. Coefficient of Conservatism Rankings for the Flora of Montana: Part III. Report to the Montana Department of Environmental Quality, Helena, Montana. Prepared by the Montana Natural Heritage Program, Helena, Montana. 107 pp. WA = Rocchio, F.J, and R. Crawford. 2013. Floristic Quality Assessment for Washington Vegetation. Washington Natural Heritage Program, Washington Department of Natural Resources, Olympia, WA. (Values for Eastern Washington used). WY = Washkoviak L, B. Heidel, and G. Jones. 2017. Floristic Quality Assessment for Wyoming Flora: Developing Coefficients of Conservatism. Prepared for the U.S. Army Corps of Engineers. The Wyoming Natural Diversity Database, Laramie, Wyoming. 13 pp. plus appendices. AZ, CA, ID, NM, NV, OR, UT = Great Lakes Environmental Center (GLEC), Inc. and M.S. Fennessy. 2019. Project to Assign C-Values to Western State for use in the USEPA National Wetland Condition Assessment. Great Lakes Environmental Center, Traverse City, MI. Live: The Core Methods measure Live vs. Standing Dead plant cover, i.e., if a pin drop hits a dead plant part (even if it’s on a living plant), that hit is considered a dead hit. If a pin hits both a live and a dead plant part in the same pin drop, that hit is considered live. Growth Habit: The form of a plant. In this dataset, plants are either Forb, Graminoid, Shrub, Tree, and, in Alaska only, Liverwort, Moss, Hornwort, and Lichen. Growth habitat was derived from USDA PLANTS. If more than one growth habit was designated in USDA PLANTS, the most common growth habit was determined by consulting the USDA plants database and other literature and was applied across all states where it occurs. Graminoids include all grasses, rushes, sedges, arrow grasses, and quillworts (Poaceae, Cyperaceae, Juncaceae, Juncaginaceae, and Isoetes). Forbs include vascular, non-woody plants, but exclude graminoids. Shrubs are defined as perennial multi-stemmed woody plants usually less than 4-5 m in height. Trees are generally perennial woody plants with a single stem, normally greater than 4 to 5 m in height. Duration: The life length of a plant. In this dataset, plants are either Perennial or Annual. Biennial plants are classified as Annuals. Duration was derived from USDA PLANTS. If more than one duration was designated in USDA PLANTS, the most common duration for each state was determined by consulting the USDA plants database and applied across all administrative states where it occurs. Nonvasculars: Nonvascular species were not included in LPI data collection in the lower-48 except as generic “non-plant” codes. In Alaska, a full list of nonvascular species from the Alaska Vegetation Plots Database (https://akveg.uaa.alaska.edu/) including mosses, hornworts, liverworts, and lichens was used during data collection. In terms of indicator calculations, nonvasculars were not included in plot-level plant counts and cover (i.e. cover of various plant trait categories like nativity, duration, or growth habit), but were instead transferred into the simplified non-plant codes to be calculated into moss and lichen cover indicators. Cover by species of these nonvasculars can be found in the SpeciesIndicators table. Preferred Forbs: A set of specific forb species that are preferred by Sage Grouse birds. State preferred forb lists were developed by state botanists in collaboration with wildlife and sage-grouse experts and were based on a combination of peer reviewed literature and local knowledge. These lists were then combined to create one national list.

The Over-The-Top (OTT) market is experiencing explosive growth, projected to reach a value of $0.58 billion in 2025 and exhibiting a remarkable Compound Annual Growth Rate (CAGR) of 28.19% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing affordability and accessibility of high-speed internet globally is a major factor, allowing consumers to easily stream content. The rising popularity of mobile devices and smart TVs further enhances convenience, driving adoption. Moreover, the continuous evolution of content offerings, including original programming and diverse genres catering to niche audiences, keeps viewers engaged. Competition among established players like Netflix, Amazon Prime Video, and Disney+ alongside the emergence of innovative regional players is fueling innovation and keeping prices competitive, further stimulating market growth. The segment breakdown suggests that Subscription Video on Demand (SVOD) likely dominates the market, followed by Transactional Video on Demand (TVOD) and Advertising Video on Demand (AVOD). However, market growth is not without its challenges. The intensifying competition necessitates continuous investment in content creation and technological infrastructure. Content piracy remains a significant concern, impacting revenue streams. Furthermore, regional variations in internet penetration and consumer preferences require tailored strategies for successful market penetration. Successfully navigating these challenges hinges on strategic content acquisitions, effective marketing campaigns targeting specific demographics, and robust anti-piracy measures. The future of the OTT market hinges on technological advancements such as improved streaming quality, personalized recommendations, and interactive content experiences, ensuring sustained growth and viewer engagement throughout the forecast period. Geographic expansion, particularly into underserved regions, also presents significant opportunities for market expansion. This in-depth report provides a comprehensive analysis of the global Over-The-Top (OTT) market, encompassing its evolution, current state, and future projections from 2019 to 2033. The report leverages extensive data analysis and market insights, covering key aspects influencing the OTT landscape, including technological advancements, consumer behavior, regulatory frameworks, and competitive dynamics. This study is crucial for businesses seeking to understand and capitalize on the burgeoning opportunities within the rapidly expanding OTT sector. We analyze market trends, growth drivers, challenges, and emerging technologies shaping the future of streaming media. The study period is 2019-2033, with 2025 as the base year and estimated year, and a forecast period of 2025-2033. Recent developments include: May 2023 - Jio Fibre and OTTplay Premium have collaborated to provide 19 OTTs to Jio Set-Top Box consumers. OTTplay Premium is well-known for its high-quality and varied content, designed to give users a personalized, smooth, and premium streaming experience. With this connection, Jio set-top box customers could download the OTTplay app from the Jio Store and access prominent OTT platforms like Sony Liv, Zee5, Lionsgate, FanCode, and 15 more, all under one roof., October 2022 - Vislink has announced and introduced a new integrated collaboration with sports OTT provider StreamViral as part of their exhibition at Sportel 2022 in Monaco. Vislink, a significant broadcast live streaming production technology provider, is now delivering an OTT playout and distribution platform to complement its Artificial Intelligence (AI) cameras, which can generate captivating sports productions without using live camera operators., September 2022 - Medianova and streaming platform Jet-Stream announced a partnership to provide Medianova's CDN service within Jet-Stream's service. Jet-Stream Airflow Multi CDN is integrated into Jet-Stream Cloud services with the partnership., May 2022 - Sony Sports Network has announced that Roland-Garros 2022, the second grand slam event of the year, will be aired in four regional languages for live broadcast in India. The tournament can be streamed on Sony Sports Network's on-demand OTT platform SonyLIV.. Key drivers for this market are: Adoption of Smart Devices & Greater Access to Higher Internet Speeds, Ongoing Shift Towards Commoditization of Sporting & Entertainment Services Coupled with Growing Competition Among OTT Providers; Increasing Adoption of SVOD (subscription - Based Services) in Emerging Markets. Potential restraints include: Growing Threat of Video Content Piracy and Security Threat of User Database Due to Spyware. Notable trends are: Adoption of Smart Devices & higher Internet Speeds is Expected to Drive Over the Top (OTT) Market.

Growth parameters for tree seedlings in a lowland tropical forest in Panama, subject to experimental soil warming. The experiment is situated at the Soil Warming Experiment in Lowland Tropical Rainforest (SWELTR) on Barro Colorado Island in Panama, where the whole soil profile is subject to warming by 4-degrees. Seedling species are Inga laurina, Ormosia macrocalyx, Tachigali versicolor, Lacmellea panamensis, Protium pittieri and Virola surinamensis. Data are seedling parameters: relative growth rates, height change over time, herbivory index, light-saturated photosynthesis (Amax), leaf chlorophyll concentration, light (photosynthetic photon flux density; PPFD). We also determined soil nutrient (N and P) mineralisation for the same period using in situ ion-exchange resins each month. Data were collected over the period 2016 to 2020, following 3 years of soil warming. Photosynthesis and leaf chlorophyll content index data were collected in field campaigns during 2019 and 2022, respectively.

The Season Length (LENGTH), one of the Vegetation Phenology and Productivity (VPP) parameters, is a product of the pan-European High Resolution Vegetation Phenology and Productivity (HR-VPP) component of the Copernicus Land Monitoring Service (CLMS).

The Season Length is the number of days between the start and end dates of the vegetation growing season in the time profile of the Plant Phenology Index (PPI).

The Plant Phenology Index (PPI) is a physically based vegetation index, developed for improving the monitoring of the vegetation growth cycle. The PPI index values, with 5-day satellite revisit cycle, are first used in a function fitting to derive the PPI Seasonal Trajectories, which is a filtered time series with regular 10-day time step. From these Seasonal Trajectories, a suite of 13 Vegetation Phenology and Productivity (VPP) parameters are then computed and provided, for up to two seasons each year. The Season Length is one of the 13 parameters. The full list is available in the table 3 of the Product User Manual https://land.copernicus.eu/en/technical-library/product-user-manual-of-seasonal-trajectories/@@download/file

A complementary quality indicator (QFLAG) provides a confidence level, that is described in table 4 of the same manual.

The LENGTH dataset is made available as raster files with 10 x 10m resolution, in UTM/WGS84 projection corresponding to the Sentinel-2 tiling grid, for those tiles that cover the EEA38 countries and the United Kingdom and for two seasons in each year from 2017 onwards. It is updated in the first quarter of each year.

Image is an ecological-environmental model framework that simulates the environmental impact of human activities worldwide. It models the interactions between society, the biosphere and the climate system to evaluate sustainability issues such as climate change, biodiversity and quality of life. The IMAGE model (version 3.0, 2014) aims to explore the long-term dynamics and effects of global change resulting from the interaction between demographic, technological, economic, social, cultural and political factors.

IMAGE 3.0

Image runs result in grid-level data with resolution of 30 by 30 arcminutes and 5 by 5 arcminutes for physical processes and in data at regional level with 26 regions for socio-economic data. Since version 3.0, the grid data is published in netcdf format via the KNMI data portal (KDC). This dataset is a grid dataset.

The IMAGE indicators at grid level

Eleven indicators are available: Annual precipitation, annual temperature, dryness index, biomass, fraction of land cover type, fraction of land cover type detailed, land cover, monthly rainfall, monthly temperature, net primary production (NPP) and population density. For each indicator, there is a data file per scenario. These data files can be viewed and downloaded.

The SSP scenarios

The first IMAGE 3.0 results are the SSP scenarios of the Shared Socioeconomic Pathways — SSP project. These are documented in the article: Energy, land-use and greenhouse gas emissions trajectories under a green growth paradigm. The data of the following scenarios are available via the KNMI portal: baseline (SSP2) and mitigation scenarios (SSP2_SPA0_RCP_1.9, SSP2_SPA2_RCP_2.6, SSP2_SPA2_RCP_3.4, SSP2_SPA2_RCP_4.5, SSP2_SPA2_RCP_6.0). SPA2 stands for fragmented and postponed policies, SPA0 stands for global uniform policy without delay, RCP stands for Representative Concentration Pathways. The results for the SSP1, SSP3, SSP4 and SSP5 scenarios are available on request. To do this, please contact the IMAGE team: IMAGE-info@pbl.nl

Indicator — Net primary production (5 arcmin)

This indicator shows the global net primary production. This is the carbon dioxide that is absorbed by vegetation and is retained in tissues of plants for each country cell for the period 1970 to 2100 in increments of 5 years. Below you can download the entire indicator dataset as TAR file (in NetCDF 4.0 format) or per scenario as separate files (in.nc format).

The data is available under CC-BY license. The IMAGE team would like to be involved in projects that use the data.

Image is an ecological-environmental model framework that simulates the environmental impact of human activities worldwide. It models the interactions between society, the biosphere and the climate system to evaluate sustainability issues such as climate change, biodiversity and quality of life. The IMAGE model (version 3.0, 2014) aims to explore the long-term dynamics and effects of global change resulting from the interaction between demographic, technological, economic, social, cultural and political factors.

IMAGE 3.0

Image runs result in grid-level data with resolution of 30 by 30 arcminutes and 5 by 5 arcminutes for physical processes and in data at regional level with 26 regions for socio-economic data. Since version 3.0, the grid data is published in netcdf format via the KNMI data portal (KDC). This dataset is a grid dataset. The IMAGE indicators at grid level Eleven indicators are available: Annual precipitation, annual temperature, dryness index, biomass, fraction of land cover type, fraction of land cover type detailed, land cover, monthly rainfall, monthly temperature, net primary production (NPP) and population density. For each indicator, there is a data file per scenario. These data files can be viewed and downloaded.

The SSP scenarios

The first IMAGE 3.0 results are the SSP scenarios of the Shared Socioeconomic Pathways — SSP project. These are documented in the article: Energy, land-use and greenhouse gas emissions trajectories under a green growth paradigm. The data of the following scenarios are available via the KNMI portal: baseline (SSP2) and mitigation scenarios (SSP2_SPA0_RCP_1.9, SSP2_SPA2_RCP_2.6, SSP2_SPA2_RCP_3.4, SSP2_SPA2_RCP_4.5, SSP2_SPA2_RCP_6.0). SPA2 stands for fragmented and postponed policies, SPA0 stands for global uniform policy without delay, RCP stands for Representative Concentration Pathways. The results for the SSP1, SSP3, SSP4 and SSP5 scenarios are available on request. To do this, please contact the IMAGE team: IMAGE-info@pbl.nl

Indicator — Land cover (5 arcmin)

This indicator shows the global categorical land cover areas for each country cell for the period 1970 to 2100 in increments of 5 years. Cells can also contain water or buildings. Below you can download the entire indicator dataset as TAR file (in NetCDF 4.0 format) or per scenario as separate files (in.nc format).

The data is available under CC-BY license. The IMAGE team would like to be involved in projects that use the data.

Abstract

The documentation covers Enterprise Survey panel datasets that were collected in Slovenia in 2009, 2013 and 2019.

The Slovenia ES 2009 was conducted between 2008 and 2009. The Slovenia ES 2013 was conducted between March 2013 and September 2013. Finally, the Slovenia ES 2019 was conducted between December 2018 and November 2019. The objective of the Enterprise Survey is to gain an understanding of what firms experience in the private sector.

As part of its strategic goal of building a climate for investment, job creation, and sustainable growth, the World Bank has promoted improving the business environment as a key strategy for development, which has led to a systematic effort in collecting enterprise data across countries. The Enterprise Surveys (ES) are an ongoing World Bank project in collecting both objective data based on firms' experiences and enterprises' perception of the environment in which they operate.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must take its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

As it is standard for the ES, the Slovenia ES was based on the following size stratification: small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees).

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for Slovenia ES 2009, 2013, 2019 were selected using stratified random sampling, following the methodology explained in the Sampling Manual for Slovenia 2009 ES and for Slovenia 2013 ES, and in the Sampling Note for 2019 Slovenia ES.

Three levels of stratification were used in this country: industry, establishment size, and oblast (region). The original sample designs with specific information of the industries and regions chosen are included in the attached Excel file (Sampling Report.xls.) for Slovenia 2009 ES. For Slovenia 2013 and 2019 ES, specific information of the industries and regions chosen is described in the "The Slovenia 2013 Enterprise Surveys Data Set" and "The Slovenia 2019 Enterprise Surveys Data Set" reports respectively, Appendix E.

For the Slovenia 2009 ES, industry stratification was designed in the way that follows: the universe was stratified into manufacturing industries, services industries, and one residual (core) sector as defined in the sampling manual. Each industry had a target of 90 interviews. For the manufacturing industries sample sizes were inflated by about 17% to account for potential non-response cases when requesting sensitive financial data and also because of likely attrition in future surveys that would affect the construction of a panel. For the other industries (residuals) sample sizes were inflated by about 12% to account for under sampling in firms in service industries.

For Slovenia 2013 ES, industry stratification was designed in the way that follows: the universe was stratified into one manufacturing industry, and two service industries (retail, and other services).

Finally, for Slovenia 2019 ES, three levels of stratification were used in this country: industry, establishment size, and region. The original sample design with specific information of the industries and regions chosen is described in "The Slovenia 2019 Enterprise Surveys Data Set" report, Appendix C. Industry stratification was done as follows: Manufacturing – combining all the relevant activities (ISIC Rev. 4.0 codes 10-33), Retail (ISIC 47), and Other Services (ISIC 41-43, 45, 46, 49-53, 55, 56, 58, 61, 62, 79, 95).

For Slovenia 2009 and 2013 ES, size stratification was defined following the standardized definition for the rollout: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers. This seems to be an appropriate definition of the labor force since seasonal/casual/part-time employment is not a common practice, except in the sectors of construction and agriculture.

For Slovenia 2009 ES, regional stratification was defined in 2 regions. These regions are Vzhodna Slovenija and Zahodna Slovenija. The Slovenia sample contains panel data. The wave 1 panel “Investment Climate Private Enterprise Survey implemented in Slovenia” consisted of 223 establishments interviewed in 2005. A total of 57 establishments have been re-interviewed in the 2008 Business Environment and Enterprise Performance Survey.

For Slovenia 2013 ES, regional stratification was defined in 2 regions (city and the surrounding business area) throughout Slovenia.

Finally, for Slovenia 2019 ES, regional stratification was done across two regions: Eastern Slovenia (NUTS code SI03) and Western Slovenia (SI04).

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Questionnaires have common questions (core module) and respectfully additional manufacturing- and services-specific questions. The eligible manufacturing industries have been surveyed using the Manufacturing questionnaire (includes the core module, plus manufacturing specific questions). Retail firms have been interviewed using the Services questionnaire (includes the core module plus retail specific questions) and the residual eligible services have been covered using the Services questionnaire (includes the core module). Each variation of the questionnaire is identified by the index variable, a0.

Response rate

Survey non-response must be differentiated from item non-response. The former refers to refusals to participate in the survey altogether whereas the latter refers to the refusals to answer some specific questions. Enterprise Surveys suffer from both problems and different strategies were used to address these issues.

Item non-response was addressed by two strategies: a- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect the refusal to respond as (-8). b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary. However, there were clear cases of low response.

For 2009 and 2013 Slovenia ES, the survey non-response was addressed by maximizing efforts to contact establishments that were initially selected for interview. Up to 4 attempts were made to contact the establishment for interview at different times/days of the week before a replacement establishment (with similar strata characteristics) was suggested for interview. Survey non-response did occur but substitutions were made in order to potentially achieve strata-specific goals. Further research is needed on survey non-response in the Enterprise Surveys regarding potential introduction of bias.

For 2009, the number of contacted establishments per realized interview was 6.18. This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units. The relatively low ratio of contacted establishments per realized interview (6.18) suggests that the main source of error in estimates in the Slovenia may be selection bias and not frame inaccuracy.

For 2013, the number of realized interviews per contacted establishment was 25%. This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units. The number of rejections per contact was 44%.

Finally, for 2019, the number of interviews per contacted establishments was 9.7%. This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units. The share of rejections per contact was 75.2%.

Abstract

The Integrated Household Survey is one of the primary instruments implemented by the Government of Malawi through the National Statistical Office (NSO) roughly every 3-5 years to monitor and evaluate the changing conditions of Malawian households. The IHS data have, among other insights, provided benchmark poverty and vulnerability indicators to foster evidence-based policy formulation and monitor the progress of meeting the Millennium Development Goals (MDGs), the goals listed as part of the Malawi Growth and Development Strategy (MGDS) and now the Sustainable Development Goals (SDGs).

Geographic coverage

National coverage

Analysis unit

• Households
• Individuals
• Consumption expenditure commodities/items
• Communities
• Agricultural household/ Holder/ Crop
• Market

Universe

Members of the following households are not eligible for inclusion in the survey: • All people who live outside the selected EAs, whether in urban or rural areas. • All residents of dwellings other than private dwellings, such as prisons, hospitals and army barracks. • Members of the Malawian armed forces who reside within a military base. (If such individuals reside in private dwellings off the base, however, they should be included among the households eligible for random selection for the survey.) • Non-Malawian diplomats, diplomatic staff, and members of their households. (However, note that non-Malawian residents who are not diplomats or diplomatic staff and are resident in private dwellings are eligible for inclusion in the survey. The survey is not restricted to Malawian citizens alone.) • Non-Malawian tourists and others on vacation in Malawi.

Kind of data

Sample survey data [ssd]

Sampling procedure

The IHS5 sampling frame is based on the listing information and cartography from the 2018 Malawi Population and Housing Census (PHC); includes the three major regions of Malawi, namely North, Center and South; and is stratified into rural and urban strata. The urban strata include the four major urban areas: Lilongwe City, Blantyre City, Mzuzu City, and the Municipality of Zomba. All other areas are considered as rural areas, and each of the 27 districts were considered as a separate sub-stratum as part of the main rural stratum. The sampling frame further excludes the population living in institutions, such as hospitals, prisons and military barracks. Hence, the IHS5 strata are composed of 32 districts in Malawi.

A stratified two-stage sample design was used for the IHS5.

Note: Detailed sample design information is presented in the "Fifth Integrated Household Survey 2019-2020, Basic Information Document" document.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

HOUSEHOLD QUESTIONNAIRE The Household Questionnaire is a multi-topic survey instrument and is near-identical to the content and organization of the IHS3 and IHS4 questionnaires. It encompasses economic activities, demographics, welfare and other sectoral information of households. It covers a wide range of topics, dealing with the dynamics of poverty (consumption, cash and non-cash income, savings, assets, food security, health and education, vulnerability and social protection). Although the IHS5 household questionnaire covers a wide variety of topics in detail it intentionally excludes in-depth information on topics covered in other surveys that are part of the NSO’s statistical plan (such as maternal and child health issues covered at length in the Malawi Demographic and Health Survey).

AGRICULTURE QUESTIONNAIRE All IHS5 households that are identified as being involved in agricultural or livestock activities were administered the agriculture questionnaire, which is primarily modelled after the IHS3 counterpart. The modules are expanding on the agricultural content of the IHS4, IHS3, IHS2, AISS, and other regional agricultural surveys, while remaining consistent with the NACAL topical coverage and methodology. The development of the agriculture questionnaire was done with input from the aforementioned stakeholders who provided input on the household questionnaire as well as outside researchers involved in research and policy discussions pertaining to the Malawian agriculture. The agriculture questionnaire allows, among other things, for extensive agricultural productivity analysis through the diligent estimation of land areas, both owned and cultivated, labor and non-labor input use and expenditures, and production figures for main crops, and livestock. Although one of the major foci of the agriculture data collection effort was to produce smallholder production estimates for major crops, it is also possible to disaggregate the data by gender and main geographical regions. The IHS5 cross-sectional households supply information on the last completed rainy season (2017/2018 or 2018/2019) and the last completed dry season (2018 or 2019) depending on the timing of their interview.

FISHERIES QUESTIONNAIRE The design of the IHS5 fishery questionnaire is identical to the questionnaire designed for IHS3. The IHS3 fisheries questionnaire was informed by the design and piloting of a fishery questionnaire by the World Fish Center (WFC), which was supported by the LSMS-ISA project for the purpose of assembling a fishery questionnaire that could be integrated into multi-topic household-surveys. The WFC piloted the draft instrument in November 2009 in the Lower Shire region, and the NSO team considered the revised draft in designing the IHS5 fishery questionnaire.

COMMUNITY QUESTIONNAIRE The content of the IHS5 Community Questionnaire follows the content of the IHS3 & IHS4 Community Questionnaires. A “community” is defined as the village or urban location surrounding the enumeration area selected for inclusion in the sample and which most residents recognize as being their community. The IHS5 community questionnaire was administered to each community associated with the cross-sectional EAs interviewed. Identical to the IHS3 and IHS4 approach, to a group of several knowledgeable residents such as the village headman, the headmaster of the local school, the agricultural field assistant, religious leaders, local merchants, health workers and long-term knowledgeable residents. The instrument gathers information on a range of community characteristics, including religious and ethnic background, physical infrastructure, access to public services, economic activities, communal resource management, organization and governance, investment projects, and local retail price information for essential goods and services.

MARKET QUESTIONNAIRE The Market Survey consisted of one questionnaire which is composed of four modules. Module A: Market Identification, Module B: Seasonal Main Crops, Module C: Permanents Crops, and Module D: Food Consumption.

Cleaning operations

DATA ENTRY PLATFORM To ensure data quality and timely availability of data, the IHS5 was implemented using the World Bank’s Survey Solutions CAPI software. To carry out IHS5, 1 laptop computer and a wireless internet router were assigned to each team supervisor, and each enumerator had an 8–inch GPS-enabled Lenovo tablet computer. The use of Survey Solutions allowed for the real-time availability of data as the completed data was completed, approved by the Supervisor and synced to the Headquarters server as frequently as possible. While administering the first module of the questionnaire the enumerator(s) also used their tablets to record the GPS coordinates of the dwelling units. In Survey Solutions, Headquarters can then see the location of the dwellings plotted on a map of Malawi to better enable supervision from afar – checking both the number of interviews performed and the fact that the sample households lie within EA boundaries. Geo-referenced household locations from that tablet complemented the GPS measurements taken by the Garmin eTrex 30 handheld devices and these were linked with publically available geospatial databases to enable the inclusion of a number of geospatial variables - extensive measures of distance (i.e. distance to the nearest market), climatology, soil and terrain, and other environmental factors - in the analysis.

The range and consistency checks built into the application was informed by the LSMS-ISA experience in previous IHS waves. Prior programming of the data entry application allowed for a wide variety of range and consistency checks to be conducted and reported and potential issues investigated and corrected before closing the assigned enumeration area. Headquarters (NSO management) assigned work to supervisors based on their regions of coverage. Supervisors then made assignments to the enumerators linked to their Supervisor account. The work assignments and syncing of completed interviews took place through a Wi-Fi connection to the IHS5 server. Because the data was available in real time it was monitored closely throughout the entire data collection period and upon receipt of the data at headquarters, data was exported to STATA for other consistency checks, data cleaning, and analysis.

DATA MANAGEMENT The IHS5 Survey Solutions CAPI based data entry application was designed to stream-line the data collection process from the field. IHS5 Interviews were collected in “sample” mode (assignments generated from headquarters) as opposed to “census” mode (new interviews created by interviewers from a template) for the NSO to have more control over the sample.

The range and consistency checks built into the application was informed by the LSMS-ISA experience in previous IHS waves. Prior programming of the data

Graph and download economic data for Median Household Income in the United States (MEHOINUSA646N) from 1984 to 2023 about households, median, income, and USA.

Abstract

The World Bank is interested in gauging the views of clients and partners who are either involved in development in the Dominican Republic or who observe activities related to social and economic development. The World Bank Country Assessment Survey is meant to give the World Bank's team that works in the Dominican Republic, greater insight into how the Bank's work is perceived. This is one tool the World Bank uses to assess the views of its critical stakeholders. With this understanding, the World Bank hopes to develop more effective strategies, outreach and programs that support development in the Dominican Republic. The World Bank commissioned an independent firm to oversee the logistics of this effort in the Dominican Republic.

This survey was designed to achieve the following objectives:

• Assist the World Bank in gaining a better understanding of how stakeholders in the Dominican Republic perceive the Bank;

• Obtain systematic feedback from stakeholders in the Dominican Republic regarding: · Their views regarding the general environment in the Dominican Republic; · Their overall attitudes toward the World Bank in the Dominican Republic; · Overall impressions of the World Bank's effectiveness and results, knowledge and research, and communication and information sharing in the Dominican Republic; and · Perceptions of the World Bank's future role in the Dominican Republic.

• Use data to help inform the Dominican Republic country team's strategy.

Geographic coverage

National

Analysis unit

Stakeholder

Universe

Stakeholders of the World Bank in the Dominican Republic

Kind of data

Sample survey data [ssd]

Sampling procedure

In January 2013, 505 stakeholders of the World Bank in the Dominican Republic were invited to provide their opinions on the Bank's assistance to the country by participating in a country survey. Participants in the survey were drawn from among the office of the President; the office of the Vice President; the office of a Minister; the office of the Congress; the judiciary branch; employees of a ministry, ministerial department, or implementation agency; local government officials or staff; independent government institutions; consultants/contractors working on World Bank-supported projects/programs; project management units (PMUs) overseeing implementation of a project; private sector organizations; private foundations; the financial sector/private banks; the media; NGOs; community-based organizations (CBOs); trade unions; faith-based groups; academia/research institutes/think tanks; bilateral agencies; and multilateral agencies.

Mode of data collection

Mail Questionnaire [mail]

Research instrument

The Questionnaire consists of 8 Sections:

A. General Issues facing the Dominican Republic: Respondents were asked to indicate whether the Dominican Republic was headed in the right or wrong direction, the most important development priorities, and which areas would contribute most to reducing poverty and generating economic growth in the Dominican Republic.

B. Overall Attitudes toward the World Bank: Respondents were asked to rate their familiarity with the World Bank, the Bank's effectiveness in the Dominican Republic, Bank staff preparedness, the extent to which the Bank should seek to influence the global development agenda, agreement with various statements regarding the Bank's work, and the extent to which the Bank is an effective development partner. Respondents were also asked to indicate the sectoral areas on which it would be most productive for the Bank to focus its resources, the Bank's greatest values and greatest weaknesses in its work, the most effective instruments in helping to reduce poverty in the Dominican Republic, with which groups the Bank should work more, and how they attribute slow or failed reform efforts.

C. World Bank Effectiveness and Results: Respondents were asked to rate the Bank's level of effectiveness across thirty-two development areas, the extent to which the Bank's work helps achieve sustainable development results, and the extent to which the Bank meets the Dominican Republic's needs for financial instruments and knowledge services.

D. The World Bank's Knowledge Work and Activities (i.e., Analysis, Studies, Research, Data, Reports, Conferences): Respondents were asked to indicate how frequently they consult Bank knowledge work and activities in the work they do, the areas on which the Bank should focus its knowledge work and activities, and to rate the effectiveness and quality of the Bank's knowledge work and activities, including how significant a contribution it makes to development results and its technical quality.

E. Working with the World Bank: Respondents were asked to rate their agreement with a series of statements regarding working with the Bank, such as the Bank disbursing funds promptly.

F. The Future Role of the World Bank in the Dominican Republic: Respondents were asked to rate how significant a role the Bank should play in the Dominican Republic's development in the near future and to indicate what the Bank should do to make itself of greater value.

G. Communication and Information Sharing: Respondents were asked to indicate how they get information about economic and social development issues, how they prefer to receive information from the Bank, their access to the Internet, and their usage and evaluation of the Bank's website. Respondents were asked about their awareness of the Bank's Access to Information policy, past information requests from the Bank, and their level of agreement that they use more data from the World Bank as a result of the Bank's Open Data policy. Respondents were also asked to indicate their level of agreement that they know how to find information from the Bank and that the Bank is responsive to information requests.

H. Background Information: Respondents were asked to indicate their current position, specialization, whether they professionally collaborate with the World Bank, their exposure to the Bank in the Dominican Republic, and their geographic location.

Response rate

A total of 275 stakeholders participated in the country survey (54%).

Soil moisture availability is one of the most important parameters governing biomass production and evapotranspiration.

Lack of soil moisture (soil moisture stress) can seriously hamper biomass growth by reducing vegetation transpiration. Soil moisture is directly released to the atmosphere from the top soil through evaporation and from the vegetation cover through transpiration.

Pixel values of relative soil moisture content range between 0 and 1, where 0 is equal to the soil moisture content at wilting point and 1 is equal to the soil moisture content at field capacity.

Data publication: 2024-02-05

Supplemental Information:

No data value: -9999

Unit : %

Scale Factor : 0.001

Map code : L3-RSM-D.LOT

Scale factor: The pixel value in the downloaded data must be multiplied by

New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.

Citation:

FAO WaPOR database, License: CC BY-NC-SA 4.0, [Date accessed: Day/Month/Year]

Contact points:

Resource Contact: WaPOR

Metadata Contact: WaPOR

Data lineage:

The calculation is based on the WaPOR-ETLook model described in the Wapor methodology document

Data component are developed through collaboration with eLEAF. More information can be found on the WaPOR Website.

Resource constraints:

Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)

Online resources:

Download the data from Google Cloud Storage

Download the data from File-Browser

Snapshot img

Insurance Analytics Market 2024-2028

The insurance analytics market size is projected to increase by USD 13.14 billion, at a CAGR of 15.96% between 2023 and 2028. The growth rate of the market depends on several factors, including the increasing government regulations on mandatory insurance coverage in developing countries, the increasing availability of big data tools, and the growing need for insurers to make data-driven decisions. Insurance analytics involves the use of data analysis and statistical techniques to gain insights into the insurance industry. It helps insurers make informed decisions, assess risks, detect fraudulent activities, and enhance overall operational efficiency. This technology leverages data from various sources, including customer information, claims data, and market trends, to optimize underwriting, pricing, and claims processing activities.

The report includes a comprehensive outlook on the Insurance Analytics Market, offering forecasts for the industry segmented by Deployment, which comprises cloud and on-premises. Additionally, it categorizes Component into tools and services and covers Regions, including North America, Europe, APAC, Middle East and Africa, and South America. The report provides market size, historical data spanning from 2018 to 2022, and future projections, all presented in terms of value in USD billion for each of the mentioned segments.

What will be the size of the Insurance Analytics Market During the Forecast Period?

For More Highlights About this Report, Download Free Sample in a Minute

Insurance Analytics Market Overview

Insurance Analytics Market Driver

Increasing government regulations on mandatory insurance coverage in developing countries is the key factor driving market growth. Third-party motor insurance is compulsory for vehicles that run on public roads in some countries. For example, anyone who owns or operates a vehicle in the state of Maine in the US must have at least the minimum amount of insurance required by law. Similarly, health insurance is mandatory in most developed countries. Travel insurance is mandatory for a person traveling to a foreign country (in most developed countries).

Furthermore, the travel Insurance industry is expected to grow at a rapid pace due to the increase in cross-country tourism. The health insurance analytics industry is growing slowly in developing countries because of the increased awareness about the importance of having health insurance. As a result, the growth of various types of insurance is resulting in the rapid expansion of the global insurance analytics market.

Insurance Analytics Market Trends

Increasing adoption of insurance in developing countries is the primary trend shaping market growth. The market is currently expanding at a fast pace because of the increasing awareness about the importance of insurance. Emerging markets, mainly China and India, are expected to contribute to the rapid growth of the insurance industry.

In addition, the digital transformation in the insurance industry has resulted in a rapid increase in the demand for upgraded customer-facing insurance analytics solutions. With the increasing demand for insurance in developing countries, the demand for insurance analytics is also growing at a fast pace. Traditional methods of insurance are not favored anymore.

Insurance Analytics Market Restrain

The complexity of integrating diverse data sources is a challenge that affects market growth. Insurers often deal with vast amounts of data generated by various channels, and integrating this data seamlessly can be complex and complicated. Standardizing data formats, ensuring data quality, and establishing interoperability between different systems are crucial aspects. Overcoming these integration challenges is essential for insurers to harness the full potential of analytics and derive meaningful insights from the diverse datasets available to them.

Furthermore, the insurance sector is a heavily regulated industry, and data use and integration must comply with various regional and industry-specific regulations. Ensuring adherence to compliance standards adds complexity to the overall integration process. In addition, inaccuracies or inconsistencies can lead to flawed insights and decisions.

Insurance Analytics Market Segmentation By Deployment

The market share growth by the cloud segment will be significant during the forecast period. Cloud-based insurance analytics refers to the use of cloud computing services to store, analyze, and process insurance-related data. By leveraging cloud platforms, insurers can benefit from enhanced scalability, flexibility, and accessibility. This enables the efficient handling of large datasets, faster analytics processing, and the ability to access insights from virtually anywhere.

Get a glance at the market contribution of various segments Download the PDF Sam