In 2024, Pietermaritzburg in South Africa ranked first in the crime index among African cities, scoring 82.5 index points. The six most dangerous areas on the continent were South African cities. Furthermore, Pretoria and Johannesburg followed, with a score of 81.9 and 80.8 points, respectively. The index estimates the overall level of crime in a specific territory. According to the score, crime levels are classified as very high (over 80), high (60-80), moderate (40-60), low (20-40), and very low (below 20). Contact crimes are common in South Africa Contact crimes in South Africa include violent crimes such as murder, attempted murder, and sexual offenses, as well as common assault and robbery. In fiscal year 2022/2023, the suburb of Johannesburg Central in the Gauteng province of South Africa had the highest number of contact crime incidents. Common assault was the main contributing type of offense to the overall number of contact crimes. Household robberies peak in certain months In South Africa, June, July, and December experienced the highest number of household robberies in 2023. June and July are the months that provide the most hours of darkness, thus allowing criminals more time to break in and enter homes without being detected easily. In December, most South Africans decide to go away on holiday, leaving their homes at risk for a potential break-in. On the other hand, only around 42 percent of households affected by robbery reported it to the police in the fiscal year 2022/2023.

In 2024, South Africa ranked first in the crime index among African countries, with a score of 74.8 index points. Nigeria was the second most dangerous country on the continent, obtaining 66.7 points. The index evaluates the overall crime levels in a specific country. Several African countries scored between 60 and 80 points, indicating high crime levels. Escalating concerns: South Africans worry about crime and violence In 2024, South Africa had one of the highest proportions of respondents expressing concerns about crime and violence compared to other countries participating in an online study. Throughout the period examined, the percentage of participants worried about violence peaked at 67 percent in March 2023. The escalating levels of violent crime currently witnessed in the country has caused this significant rise in concerned respondents. South Africa's organized crime landscape In 2023, South Africa ranked the third highest in organized crime compared to its African counterparts. The continent's most prevalent organized criminal activity was human trafficking and financial crimes. Moreover, from a regional perspective, Southern African countries had the lowest organized crime rate.

In FY 2022/2023, the suburb of Johannesburg Central in the Gauteng province of South Africa had the highest number of contact crime recorded incidents, with 4,208 reports. Nyanga (Western Cape) followed with 4,045 reports. Combining the number of incidents in all 15 hot-spot areas accounts for around eight percent of the total number of contact crimes in the observed period.

EMOTION was the first project to utilize human centered design (HCD) to develop branding, messaging and packaging for microbicide products in order to enhance awareness, desire, and demand for microbicides and lead to greater uptake and proper adherence by high-risk end users. The HCD methodology was used as the basis for this project, as it complements and expands upon existing sociobehavioral and acceptability research in the HIV prevention field. The goal of Project EMOTION is to increase uptake and correct and consistent use of antiretroviral (ARV)-based HIV prevention products by women at high risk of HIV infection using an end-user centered strategy. Selected products, brands, packaging and communication materials were manufactured for brand positioning, refinement, and message clarification in accordance with Social and Behavioral Change theory principals for Project Siyavala (October-November 2016 in Western Cape, Johannesburg, and KZN in collaboration with Abt Associates and Matchboxology). The team interviewed young women, men, health care providers and community leaders in both urban and rural regions in South Africa. Different advertisements/posters were presented, and participant reactions were analyzed to understand appeal, clarity, cultural appropriateness and other related factors. Further analysis disentangled the visual and messaging stimuli that resonated by group, region, and age range. These included facilitated group discussion, small group work ranking the messages from best to worst, and categorization of appealing messages by the key target audience segments of consumers and Health Care Providers (HCPs).

This test dataset consists of one table of variables collected in PRIEST dataset. The PRIEST (Pandemic Respiratory Infection Emergency System Triage) Study for Low and Middle-Income Countries (DP – PRIEST)

To ensure hospitals in low- and middle- income countries are not overwhelmed during the COVID-19 pandemic by developing a risk assessment tool for clinicians to quickly decide whether a patient needs emergency care or can be safely sent home.

Carl Marincowitz and colleagues at the University of Sheffield in the United Kingdom and the University of Cape Town in South Africa have developed a risk assessment tool to help emergency clinicians quickly decide whether a patient with suspected COVID-19 needs emergency care or can be safely treated at home to avoid overburdening hospitals particularly in low- and middle- income countries (LMICs). They have used existing data to which they have access on 50,000 patients with suspected COVID-19 infection who sought emergency care in the United Kingdom, South Africa, and Sudan to develop prediction models for specific COVID-19 related outcomes in all income settings. These prediction models have been used to develop risk stratification tools, which enable providers to identify the right level of care and services for distinct subgroups of patients. These have been developed with input from patient and clinical stakeholders. The team have tested the performance of their risk assessment tools for identifying high-risk patients with existing triage methods.

Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.

Abstract

In 2003, the Institute for Security Studies (ISS) in South Africa conducted a national victims of crime survey with the aim of measuring crime trends in the country, public perceptions about crime and safety, as well as confidence in the criminal justice system. The study was planned and carried out to allow direct comparisons with a victim of crime survey conducted in 1998 by Statistics SA for the Department of Safety and Security and the United Nations Interregional Crime and Justice Research Institute (UNICRI). The survey was conducted between September and October 2003. Households were randomly selected across the country based on the 2001 Census, and a national sample of 4,860 people, over the age of 16 years, was realised. The sample was stratified by province and urban/rural areas, and the data was weighted to reflect the actual composition of the population.

Geographic coverage

The survey had national coverage

Analysis unit

The units of analysis in the study were individuals and households

Universe

The survey covered all households in South Africa

Kind of data

Sample survey data [ssd]

Sampling procedure

Multi-stage cluster sampling was utilised, with Enumerator Areas (EAs) from the 2001 Census selected at the first stage of the sampling, households within the EAs at the second stage, and individuals within the household at the third stage. Based on the total number of households in South Africa (identified by the 2001 Census as 11,205,705), a total of 80,787 EAs were allocated. The total sample size was determined to be 4,050 households. The sample was calculated at a 95% confidence interval, and with a design effect of two. Ten interviews were collected from each EA. The distribution of the sample through the provinces is reflected in the table below. In total, a sample of 4,860 was realised.

Households were selected randomly in the following manner: Maps of the EAs were obtained prior to entry of the EA, and random starting points selected. The household nearest to the starting point was selected, and a household interval randomly selected by the supervisor using the day, week and month of the interview. Every nth household was then completed until the target number of interviews was obtained. Respondents over the age of 16 years were then randomly selected for interview using a KISH grid.

Mode of data collection

Face-to-face [f2f]

Research instrument

In order to ensure comparability with the 1998 national Victims of Crime survey, as well as ISS surveys in other African countries that were being conducted at the same time as the national survey, specific aspects of the survey design were predetermined. These included certain components of the questionnaire as well as the sample design. A basic questionnaire, based on those used in the ICVS, previous ISS studies, concurrent regional studies, and the 1998 Victims of Crime survey was used as a starting point. To enable comparison of the 1998 and 2003 data sets, the definitions used in the study were kept identical to those used in the 1998 survey, with the exception of attempted car hijackings and attempted housebreakings. In this study, car hijacks specifically only included successful incidents, rather than including attempts as was the case in the 1998 study, while attempted housebreakings were excluded from this study. For methodological purposes, the types of crimes were divided into those that affect the household, and those that affect individuals.

In order to minimise fieldworker error, and coding and capturing error, as well as any ambiguities in responses, the instrument was largely pre-coded. A number of drafts were prepared and presented internally to the ISS, and then to a stakeholder committee for input, before finalisation. The questionnaire was not translated into any vernacular languages. However, the introduction and definitions of crimes used by enumerators were translated and back-translated from English into Afrikaans, Zulu, and Sotho. Although every precaution was taken during fieldworker training to ensure that interpretations were correct, it is not inconceivable that errors may have occurred. Cross-checks were carried out on 20% of the questionnaires to ensure that the responses given were an accurate reflection of respondents’ opinions. These cross-checks did not reveal any consistent error from the latitude ordinarily accorded interviewers in translating the original questionnaire.

Cleaning operations

Capture was undertaken on Epi-Info. A process of double capture was undertaken in order to eliminate capture error.

South Africa: Short-term political risk (1=low, 7=high): The latest value from is index points, unavailable from index points in . In comparison, the world average is 0 index points, based on data from countries. Historically, the average for South Africa from to is 3 index points. The minimum value, 3 index points, was reached in 2014 while the maximum of 3 index points was recorded in 2014.

The project, based at the University of Greenwich, UK and Stellenbosch University, South Africa, aimed to examine epidemiologic transitions by identifying and quantifying the drivers of change in CVD risk in the middle-income country of South Africa compared to the high-income nation of England. The project produced a harmonised dataset of national surveys measuring CVD risk factors in South Africa and England for others to use in future work. The harmonised dataset includes microdata from nationally-representative surveys in South Africa derived from the Demographic and Health Surveys, National Income Dynamics Study, South Africa National Health and Nutrition Examination Survey and Study on Global Ageing and Adult Health, covering 11 cross-sections and approximately 156,000 individuals aged 15+ years, representing South Africa’s adult population from 1998 to 2017.

Data for England come from 17 Health Surveys for England (HSE) over the same time period, covering over 168,000 individuals aged 16+ years, representing England’s adult population.

This study uses existing data to identify drivers of recent health transitions in South Africa compared to England. The global burden of non-communicable diseases (NCDs) on health is increasing. Cardiovascular diseases (CVD) in particular are the leading causes of death globally and often share characteristics with many major NCDs. Namely, they tend to increase with age and are influenced by behavioural factors such as diet, exercise and smoking. Risk factors for CVD are routinely measured in population surveys and thus provide an opportunity to study health transitions. Understanding the drivers of health transitions in countries that have not followed expected paths (eg, South Africa) compared to those that exemplified models of 'epidemiologic transition' (eg, England) can generate knowledge on where resources may best be directed to reduce the burden of disease. In the middle-income country of South Africa, CVD is the second leading cause of death after HIV/AIDS and tuberculosis (TB). Moreover, many of the known risk factors for NCDs like CVD are highly prevalent. Rates of hypertension are high, with recent estimates suggesting that over 40% of adults have high blood pressure. Around 60% of women and 30% of men over 15 are overweight in South Africa. In addition, excessive alcohol consumption, a risk factor for many chronic diseases, is high, with over 30% of men aged 15 and older having engaged in heavy episodic drinking within a 30-day period. Nevertheless, infectious diseases such as HIV/AIDS remain the leading cause of death, though many with HIV/AIDS and TB also have NCDs. In high-income countries like England, by contrast, NCDs such as CVD have been the leading causes of death since the mid-1900s. However, CVD and risk factors such as hypertension have been declining in recent decades due to increased prevention and treatment. The major drivers of change in disease burden have been attributed to factors including ageing, improved living standards, urbanisation, lifestyle change, and reduced infectious disease. Together, these changes are often referred to as the epidemiologic transition. However, recent research has questioned whether epidemiologic transition theory accurately describes the experience of many low- and middle-income countries or, in fact, of high-income nations such as England. Furthermore, few studies have empirically tested the relative contributions of demographic, behavioural, health and economic factors to trends in disease burden and risk, particularly on the African continent. In addition, many social and environmental factors are overlooked in this research. To address these gaps, our study will use population measurements of CVD risk derived from surveys in South Africa over nearly 20 years in order to examine whether and to what extent demographic, behavioural, environmental, medical, social and other factors contribute to recent health trends and transitions. We will compare these trends to those occurring in England over the same time period. Thus, this analysis seeks to illuminate the drivers of health transitions in a country which is assumed to still be 'transitioning' to a chronic disease profile but which continues to have a high infectious disease burden (South Africa) as compared to a country which is assumed to have already transitioned following epidemiological transition theory (England). The analysis will employ modelling techniques on pooled cross-sectional data to examine how various factors explain the variation in CVD risk over time in representative population samples from South Africa and England. The results of this analysis may help to identify some of the main contributors to recent changes in CVD risk in South Africa and England. Such information can be used to pinpoint potential areas for intervention, such as social policy and services, thereby helping to set priorities for governmental and...

South Africa ZA: Risk Premium on Lending: Lending Rate Minus Treasury Bill Rate data was reported at 3.045 % pa in 2017. This records a decrease from the previous number of 3.229 % pa for 2016. South Africa ZA: Risk Premium on Lending: Lending Rate Minus Treasury Bill Rate data is updated yearly, averaging 3.759 % pa from Dec 1960 (Median) to 2017, with 57 observations. The data reached an all-time high of 5.673 % pa in 1975 and a record low of 2.584 % pa in 1961. South Africa ZA: Risk Premium on Lending: Lending Rate Minus Treasury Bill Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Africa – Table ZA.World Bank.WDI: Interest Rates. Risk premium on lending is the interest rate charged by banks on loans to private sector customers minus the 'risk free' treasury bill interest rate at which short-term government securities are issued or traded in the market. In some countries this spread may be negative, indicating that the market considers its best corporate clients to be lower risk than the government. The terms and conditions attached to lending rates differ by country, however, limiting their comparability.; ; International Monetary Fund, International Financial Statistics database.; ;

In 2023/2024, the highest number of kidnapping offenses recorded by the South African police was in the area of Moroka, which is located in the province of Gauteng. The number of cases amounted to almost 240 offenses. Orange Farms came in second, with over 210 kidnapping cases.

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Automated Barriers And Bollards Market Size 2024-2028

The automated barriers and bollards market size is forecast to increase by USD 349.1 million at a CAGR of 4.5% between 2023 and 2028.

The market is witnessing significant growth due to the increasing adoption of automatic tolling systems in various applications such as parking lots, smart airports, and highways. These systems offer benefits like efficient traffic management, enhanced security, and contactless payment solutions. Additionally, the smart operation of automated barriers and bollards via IoT and cloud technologies is gaining popularity, enabling real-time monitoring and remote control.
However, the high costs associated with the deployment and maintenance of these systems remain a challenge for market growth. Despite this, the market is expected to continue expanding due to the growing demand for advanced security solutions and the integration of AI and machine learning technologies in automated barriers and bollards.

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The market is witnessing significant growth due to increasing public safety concerns and rising crime rates. These barriers are essential components of roadways infrastructure and are used in various applications such as toll booth installations, parking lots, and high security applications. Automated barriers come in different types, including Push Button and Remote Controlled, which offer convenience and quick functioning. Some advanced barriers use RFID tags readers and loop detectors for efficient vehicle identification and movement control.
Additionally, automated bollards are gaining popularity in residential, commercial, and industrial sectors for securing properties and regulating vehicular movement. They are used in malls, theatres, residential buildings, and other public places to ensure safety and prevent unauthorized access. The market is driven by the need for automation and quick functioning in managing vehicular movement and addressing public safety concerns. Criminal activity, traffic offenses, and gang activity are some of the significant factors fueling the demand for automated barriers and bollards. Steel barriers are commonly used due to their durability and strength in securing high-risk areas.

How is this market segmented and which is the largest segment?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Product

  Boom barriers
  Bollards


Geography

  Europe

    Germany
    UK
    Italy


  North America

    US


  APAC

    China


  Middle East and Africa



  South America

By Product Insights

The boom barriers segment is estimated to witness significant growth during the forecast period.

Automated barriers and bollards are essential components of vehicle access control systems in various infrastructure applications, including toll booths, parking lots, high security facilities such as malls, theatres, residential buildings, office spaces, stadiums, military facilities, airports, and embassies. These systems utilize technologies like RFID and loop detectors for efficient and secure vehicle management solutions. The push button system and pressure sensors are common features in manual barriers, while automation and quick functioning are crucial factors in enhancing public safety concerns in the face of rising crime rates and criminal activity, traffic offenses, and gang activity. Commercial buildings and building premises also benefit from these systems to ensure access control and security on the pavement surface.

Similarly, public infrastructure projects such as roads, bridges, walkways, and government infrastructure require durable barriers and bollards for effective traffic management and protection against unauthorized vehicle entry. RFID technology plays a significant role in enabling contactless and efficient access control. The durability and reliability of these systems are essential to ensure the safety and security of people and assets in various applications.

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The boom barriers segment was valued at USD 838.60 million in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

Europe is estimated to contribute 32% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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The market encompasses various types of access control systems used in roadways infrastructure, including push button,

The South African Police Service (SAPS) has accepted a new and challeging objective of ensuring that its crime statistics are in line with international best practice. This will be achieved through a Memorandum of Understanding with Statistics South Africa (Stats SA), aimed at further enhancing the quality and integrity of the South African crime statistics.

The crime statistics generated by SAPS are an important link in the value chain of the statistics system informs policy development and planning in the criminl justice system. The collaboration with StatsSA will go a long way in enhancing the integrity of the SAPS crime statistics and ensuring that policy-makers have quality data to assist them with making policy decisions.

1. With the rapid growth of wind energy developments worldwide, it is critical that the negative impacts on wildlife are considered and mitigated. This includes minimising the numbers of large soaring raptors which are killed when they collide with wind turbines.

2. To reduce the likelihood of raptor collisions, turbines should be placed at locations which are least used by sensitive species. For resident or breeding species, this is often delineated crudely through the use of circular buffers centred on nest sites, which assume uniform habitat use around a nest site.

3. Using GPS tracking data together with a digital elevation model we build and cross-validate a simple generalizable model, to classify the spatial likelihood of wind turbine collisions for resident adult Verreaux's eagles in any landscape where there are known nests. We apply our methods to operational developments in South Africa to validate the model and demonstrate its ability in predicting actual collision mortalities.

4. Our Collision Risk Potential (CRP) model included the variables distance to nest, distance to conspecific nest, slope, distance to slope and elevation. Using our model, rather than a circular buffer, resulted in ca. 4–5% improvement in eagle protection while excluding development from the same amount (but not shape) of area. For an equal level of eagle protection, our model can make ca. 20–21% more area available for wind energy development compared to a circular buffer.

5. Exploring collisions at operational wind farms in South Africa we show that our CRP model correctly predicted 87% of known collisions, while circular buffers (5.2km radius) only captured 50% of collisions.

6. Synthesis and applications: We show that by using predictive models to account for habitat use, a greater area of land can be made available for wind energy development without increased mortality risk to raptors. Our predictive model can be used to provide robust guidance on wind turbine placement in South Africa in a way which minimizes the conflict between a vulnerable raptor species and the development of renewable energy.

Snapshot img

Risk Management Software Market Size 2024-2028

The risk management software market size is forecast to increase by USD 11.06 billion at a CAGR of 18.69% between 2023 and 2028.

The market is experiencing significant growth due to the increasing number of data and security breaches among enterprises. This trend is driving the demand for advanced risk management solutions that can help organizations mitigate risks and protect their assets. Another key factor fueling market growth is the rising adoption of cloud-based risk management software, along with artificial intelligence and analytics. This delivery model offers several advantages, including lower costs, easier implementation, and greater scalability. 
However, the high cost and complexity of installing and configuring risk management software remain challenges for some organizations, particularly smaller businesses. Despite these challenges, the market is expected to continue expanding as more companies recognize the importance of effective risk management in today's complex business environment. Organizations must stay informed of the latest risk management trends and solutions to ensure they are well-positioned to address evolving threats and mitigate potential risks.

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The market is experiencing rapid digitalization, driven by the increasing adoption of cloud-based applications and the proliferation of smartphones and digital devices. This trend is particularly prominent in industries that require the management of financial tasks, administrative tasks, and risks associated with legal liabilities, financial uncertainty, and security risks. The software enables real-time risk assessment, decision-making, and risk mitigation activities, making it an essential tool for businesses seeking to manage and mitigate potential issues.



With the association between data security and risk management growing, the market is witnessing significant investment in advanced data security features. End-users are increasingly deploying cloud-based solutions to streamline processes, reduce administrative burdens, and improve overall efficiency. The market is expected to continue growing, as businesses seek to stay ahead of evolving risks and ensure business continuity.

How is this Risk Management Software Industry segmented and which is the largest segment?

The industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Component

  Software
  Services


Deployment

  On-premises
  Cloud


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK


  APAC

    Japan


  South America



  Middle East and Africa

By Component Insights

The software segment is estimated to witness significant growth during the forecast period.

The market's software segment is experiencing substantial growth due to the increasing importance of risk analysis and mitigation in various industries. Technological advancements, expanding data volumes, and the need for real-time risk assessment are driving this growth. Quantitative risk assessment software, which employs statistical tools and algorithms to quantify risks and develop mitigation strategies, is a popular example. This software is particularly valuable in sectors such as finance, healthcare, and insurance, where it is a key operational focus. The software enables organizations to assess and manage risks associated with financial tasks, administrative tasks, identity theft, security breaches, and natural disasters.

Cloud-based security solutions and integrated banking features further enhance the software's capabilities. Despite the challenges of trade regulations, production analysis, and cyber-attacks, the market's growth prospects remain promising. Organizations across the IT industry, financial institutions, and developing economies are increasingly adopting risk management software to address issues of financial uncertainty, legal liabilities, and security risks.

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The software segment was valued at USD 2.67 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 31% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market share of various regions, Request Free Sample

Factors such as the presence of many organizations from the banking, financial services and insurance (BFSI), IT se

This starter data kit collects extracts from global, open datasets relating to climate hazards and infrastructure systems.

These extracts are derived from global datasets which have been clipped to the national scale (or subnational, in cases where national boundaries have been split, generally to separate outlying islands or non-contiguous regions), using Natural Earth (2023) boundaries, and is not meant to express an opinion about borders, territory or sovereignty.

Human-induced climate change is increasing the frequency and severity of climate and weather extremes. This is causing widespread, adverse impacts to societies, economies and infrastructures. Climate risk analysis is essential to inform policy decisions aimed at reducing risk. Yet, access to data is often a barrier, particularly in low and middle-income countries. Data are often scattered, hard to find, in formats that are difficult to use or requiring considerable technical expertise. Nevertheless, there are global, open datasets which provide some information about climate hazards, society, infrastructure and the economy. This "data starter kit" aims to kickstart the process and act as a starting point for further model development and scenario analysis.

Hazards:

coastal and river flooding (Ward et al, 2020)

extreme heat and drought (Russell et al 2023, derived from Lange et al, 2020)

tropical cyclone wind speeds (Russell 2022, derived from Bloemendaal et al 2020 and Bloemendaal et al 2022)

Exposure:

population (Schiavina et al, 2023)

built-up area (Pesaresi et al, 2023)

roads (OpenStreetMap, 2023)

railways (OpenStreetMap, 2023)

power plants (Global Energy Observatory et al, 2018)

power transmission lines (Arderne et al, 2020)

The spatial intersection of hazard and exposure datasets is a first step to analyse vulnerability and risk to infrastructure and people.

To learn more about related concepts, there is a free short course available through the Open University on Infrastructure and Climate Resilience. This overview of the course has more details.

These Python libraries may be a useful place to start analysis of the data in the packages produced by this workflow:

snkit helps clean network data



nismod-snail is designed to help implement infrastructure
exposure, damage and risk calculations

The open-gira repository contains a larger workflow for global-scale open-data infrastructure risk and resilience analysis.

For a more developed example, some of these datasets were key inputs to a regional climate risk assessment of current and future flooding risks to transport networks in East Africa, which has a related online visualisation tool at https://east-africa.infrastructureresilience.org/ and is described in detail in Hickford et al (2023).

References

Arderne, Christopher, Nicolas, Claire, Zorn, Conrad, & Koks, Elco E. (2020). Data from: Predictive mapping of the
global power system using open data [Dataset]. In Nature Scientific Data (1.1.1, Vol. 7, Number Article 19). Zenodo.
DOI: 10.5281/zenodo.3628142



Bloemendaal, Nadia; de Moel, H. (Hans); Muis, S; Haigh, I.D. (Ivan); Aerts, J.C.J.H. (Jeroen) (2020): STORM tropical
cyclone wind speed return periods. 4TU.ResearchData. [Dataset]. DOI:
10.4121/12705164.v3



Bloemendaal, Nadia; de Moel, Hans; Dullaart, Job; Haarsma, R.J. (Reindert); Haigh, I.D. (Ivan); Martinez, Andrew B.;
et al. (2022): STORM climate change tropical cyclone wind speed return periods. 4TU.ResearchData. [Dataset]. DOI:
10.4121/14510817.v3



Global Energy Observatory, Google, KTH Royal Institute of Technology in Stockholm, Enipedia, World Resources
Institute. (2018) Global Power Plant Database. Published on Resource Watch and Google Earth Engine;
resourcewatch.org/



Hickford et al (2023) Decision support systems for resilient strategic transport networks in low-income countries
– Final Report. Available online:
https://transport-links.com/hvt-publications/final-report-decision-support-systems-for-resilient-strategic-transport-networks-in-low-income-countries



Lange, S., Volkholz, J., Geiger, T., Zhao, F., Vega, I., Veldkamp, T., et al. (2020). Projecting exposure to extreme
climate impact events across six event categories and three spatial scales. Earth's Future, 8, e2020EF001616. DOI:
10.1029/2020EF001616



Natural Earth (2023) Admin 0 Map Units, v5.1.1. [Dataset] Available online:
www.naturalearthdata.com/downloads/10m-cultural-vectors/10m-admin-0-details



OpenStreetMap contributors, Russell T., Thomas F., nismod/datapkg contributors (2023) Road and Rail networks derived
from OpenStreetMap. [Dataset] Available at
global.infrastructureresilience.org



Pesaresi M., Politis P. (2023): GHS-BUILT-S R2023A - GHS built-up surface grid, derived from Sentinel2 composite and
Landsat, multitemporal (1975-2030) European Commission, Joint Research Centre (JRC) PID:
data.europa.eu/89h/9f06f36f-4b11-47ec-abb0-4f8b7b1d72ea, doi:10.2905/9F06F36F-4B11-47EC-ABB0-4F8B7B1D72EA



Russell, T., Nicholas, C., & Bernhofen, M. (2023). Annual probability of extreme heat and drought events, derived
from Lange et al 2020 (Version 2) [Dataset]. Zenodo. DOI:
10.5281/zenodo.8147088



Schiavina M., Freire S., Carioli A., MacManus K. (2023): GHS-POP R2023A - GHS population grid multitemporal
(1975-2030). European Commission, Joint Research Centre (JRC) PID:
data.europa.eu/89h/2ff68a52-5b5b-4a22-8f40-c41da8332cfe, doi:10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE



Ward, P.J., H.C. Winsemius, S. Kuzma, M.F.P. Bierkens, A. Bouwman, H. de Moel, A. Díaz Loaiza, et al. (2020)
Aqueduct Floods Methodology. Technical Note. Washington, D.C.: World Resources Institute. Available online at:
www.wri.org/publication/aqueduct-floods-methodology.

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High-Visibility Clothing Market Size 2024-2028

The high-visibility clothing market size is forecast to increase by USD 271.3 million at a CAGR of 3.27% between 2023 and 2028. The market is witnessing significant growth due to the increasing demand from various industries, including manufacturing, construction, emergency response, and forest rangers. The use of Personal Protective Equipment (PPE) equipped with reflective materials and fluorescent colors is essential for ensuring the safety of workers in high-risk environments. companies are focusing on innovative product offerings, such as wearable technology, to enhance safety protocols and risk management practices. The COVID-19 pandemic has also accelerated the adoption of high-visibility clothing as companies prioritize the safety and health of their employees. The market is expected to continue its growth trajectory, driven by the need for enhanced safety measures and regulatory compliance.

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The high visibility apparel market in the US is witnessing significant growth due to the increasing prioritization of safety and risk management practices across various industries. This market caters to the demand for safety vests, shirts, jackets, rainwear, and other high visibility workwear in sectors such as construction, traffic management, maintenance services, offshore activities, mining, manufacturing, military & defense, transportation, healthcare, logistics, recreational activities, and more. High visibility apparel is essential in ensuring the safety of workers in hazardous environments. The use of reflective materials and fluorescent colors enhances the visibility of the wearer, reducing the risk of accidents.

Also, tier 1 companies are increasingly investing in advanced reflective materials, moisture-wicking fabrics, and smart textiles to improve the functionality and comfort of their high visibility workwear. The transportation sector is a significant contributor to the growth of the high visibility apparel market in the US. With the increasing number of vehicles on the road and the need for efficient traffic management, the demand for reflective vests and shirts for road workers and law enforcement personnel is on the rise. Similarly, in the manufacturing sector, workers are exposed to various hazards, including heavy machinery, chemicals, and electrical equipment. High visibility apparel is crucial in ensuring their safety and preventing accidents.

Moreover, the use of smart textiles and wearable technology in high visibility workwear is gaining popularity due to their ability to monitor workers' vital signs and alert supervisors in case of emergencies. The healthcare sector is another significant market for high visibility apparel. Healthcare workers, especially those working in emergency services and intensive care units, require high visibility apparel to ensure their safety and the safety of their patients. The use of moisture-wicking fabrics and advanced reflective materials in healthcare workwear enhances comfort and visibility, making it an essential investment for healthcare providers. Logistics and recreational activities are other sectors where high visibility apparel is gaining popularity.

In logistics, workers involved in loading and unloading cargo, as well as those working in warehouses, require high visibility apparel to ensure their safety. In recreational activities, such as hunting, fishing, and camping, high visibility rainwear is essential to ensure safety in adverse weather conditions. In conclusion, the high visibility apparel market in the US is witnessing significant growth due to the increasing prioritization of safety and risk management practices across various industries. The use of advanced reflective materials, moisture-wicking fabrics, and smart textiles is enhancing the functionality and comfort of high visibility workwear, making it an essential investment for businesses in the US.

Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Product

  Durable
  Disposable


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK


  APAC

    China


  Middle East and Africa



  South America

By Product Insights

The durable segment is estimated to witness significant growth during the forecast period. The market in the United States is experiencing growth in the durable product segment due to increased safety regulations aimed at minimizing workplace hazards. Durable high-visibility clothing is particularly valuable in industries with challenging conditions, such as extreme temperatures, radiation, and pressure. The rising dema

Data files for Pulliam, JRC, C van Schalkwyk, N Govender, A von Gottberg, C Cohen, MJ Groome, J Dushoff, K Mlisana, and H Moultrie. (2021) Increased risk of SARS-CoV-2 reinfection associated with emergence of the Omicron variant in South Africa. medRxiv DOI: 10.1101/2021.11.11.21266068

For code and more details see: https://github.com/jrcpulliam/reinfections

• ts_data.csv - national daily time series of newly detected putative primary infections (inc_1) and suspected reinfections (inc_2) by specimen receipt date (date)
• demog_data.csv - counts of individuals eligible for reinfection (total), who have 0 suspected reinfections (no_reinf) or >0 suspected reinfections (reinf) by province (province), age group (5-year bands, agegrp5), and sex (M = Male, F = Female, U = Unknown, sex)
• posterior_90_null.RData - posterior samples from the MCMC fitting procedure (as used in the manuscript)
• sim_90_null.RDS - simulation results (as used in the manuscript)

In 2024, South Africa had a crime index of 75.4, which is to be considered high. However, this was one of the lowest indexes recorded in the country since 2017. Over the observed period, the value continuously fluctuated between 75 and 77. South Africa has the highest crime index in Africa and ranks as the fifth most dangerous country globally according to the same index.

As of 2022/2023, Mitchells Plain, located in the South African province of the Western Cape, recorded the highest number of drug-related crimes in the country, with some 4,500 crimes. Kraaifontein, also located in the Western Cape region, ranked second with around 3,200 cases.