The School Emergency Preparedness Study, United States, 2018, was conducted to better understand the state of knowledge concerning violent emergency preparedness in schools and the interrelationship between federal, state, district, and school perspectives on safety planning. RTI International conducted a two-year study in four phases. In Phase I, the project team reviewed federal and state guidelines and mandates for school safety planning. In Phases II and III, a survey was administered to district safety and security directors and superintendents, then the team reviewed guidelines and mandates for a subset of districts. In Phase IV, interviews were conducted with administrators from 37 schools and results were analyzed from all four phases.

Percentage of households that have taken steps to prepare for an emergency and the steps taken. The data are from the Households and the Environment Survey.

This infographic highlights results from the Survey of Emergency Preparedness and Resilience (SEPR) in Canada, 2014. The purpose of the SEPR is to improve the understanding of community resilience across Canada's provinces by collecting data on factors that affect how well individuals and communities are able to prepare for, prevent, respond to and recover from major emergencies or disasters.

The Ministry of Economic Affairs' Water Resources Agency's Disaster Emergency Response Team, utilizing long-term disaster response experience, further combines real-time data such as rainfall, water levels, and reservoir levels, through computer technology to provide water level alerts to the public and relevant units. This helps people understand the risk of home flooding, prepare early, and reduce the occurrence of disasters. This dataset is linked to a Keyhole Markup Language (KML) file list, which is a markup language based on the eXtensible Markup Language (XML) syntax standard, developed and maintained by Google's Keyhole company for expressing geospatial annotations. Documents written in the KML language are referred to as KML files and are used in Google Earth-related software (Google Earth, Google Map, Google Maps for mobile, etc.) for displaying geospatial data. Many GIS-related systems now also use this format for geospatial data exchange, and the KML of this data uses UTF-8 encoding.

Emergency Preparedness Procedure

This submission includes publicly available data extracted in its original form. Please reference the Related Publication listed here for source and citation information "This page is intended to be a one stop shop for OpenFEMA—FEMA’s data delivery platform which provides datasets to the public in open, industry standard, machine-readable formats. Datasets are available in multiple formats, including downloadable files and through an easily digestible Application Programming Interface (API). Each page includes information about the specific dataset, links to downloadable files, a data dictionary describing each field, and an endpoint link (if applicable for those datasets available via the API)." [Quote from https://www.fema.gov/about/openfema/data-sets] This dataset includes: Annual NFIRS Public Data Emergency Management Performance Grants IPAWS Archived Alerts National Household Survey Non-Disaster and Assistance to Firefighter Grants Sandy PMO: Disaster Relief Appropriations Act of 2013 (Sandy Supplemental Bill) Financial Data Please review the updated PDF/HTML documentation for more details. (2025-01-31)

The Community Emergency Preparedness Grant (CEPG) provides funding to help communities purchase emergency supplies, equipment and services, such as:

• chain saws
• generators
• sandbag machines
• training delivery and education
• exercise planning and coordination

Artificial Intelligence in Disaster Response Market Outlook

According to our latest research, the global Artificial Intelligence in Disaster Response market size reached USD 2.17 billion in 2024, reflecting robust growth fueled by advancements in AI technologies and the increasing frequency of natural and man-made disasters worldwide. The market is projected to expand at a strong CAGR of 23.6% from 2025 to 2033, with the market size expected to reach USD 17.5 billion by 2033. This remarkable growth trajectory is primarily driven by the urgent need for real-time, data-driven decision-making tools that can enhance disaster preparedness, response, and recovery across various sectors.

One of the key growth factors propelling the Artificial Intelligence in Disaster Response market is the escalating frequency and severity of natural disasters such as hurricanes, floods, wildfires, and earthquakes. As climate change accelerates, governments, humanitarian organizations, and private entities are increasingly investing in AI-powered solutions to predict, detect, and respond to disasters more efficiently. AI technologies, including machine learning, computer vision, and natural language processing, enable faster data analysis from diverse sources such as satellite imagery, social media, and IoT sensors. This capability significantly improves situational awareness and early warning systems, allowing stakeholders to make informed decisions that can save lives and minimize damage. The integration of AI with geospatial analytics and remote sensing further enhances the accuracy and timeliness of disaster response, making these technologies indispensable in modern emergency management frameworks.

Another significant factor driving market growth is the rising adoption of cloud-based AI platforms, which offer scalability, flexibility, and cost-effectiveness for disaster response applications. Cloud deployment enables organizations to access vast computing resources and real-time data analytics, even in remote or resource-constrained environments. This is particularly crucial during large-scale disasters, where rapid information sharing and coordination among multiple agencies are essential. Furthermore, the proliferation of smartphones and connected devices has facilitated the collection and dissemination of critical information during emergencies, enabling AI algorithms to process and analyze data streams from the field in real time. These technological advancements are fostering greater collaboration between governments, NGOs, and technology providers, leading to the development of integrated disaster response ecosystems that leverage AI for improved outcomes.

The growing emphasis on risk assessment and mitigation is also contributing to the expansion of the Artificial Intelligence in Disaster Response market. Organizations are increasingly leveraging AI-driven tools to model disaster scenarios, assess vulnerabilities, and optimize resource allocation before, during, and after emergencies. AI-powered risk analytics help identify high-risk areas, forecast potential impacts, and prioritize interventions, thereby enhancing community resilience and reducing economic losses. The integration of AI with legacy emergency management systems is streamlining workflows and enabling more proactive, data-driven approaches to disaster preparedness. As regulatory frameworks evolve and public awareness of disaster risks increases, demand for AI-enabled risk assessment and mitigation solutions is expected to surge across both developed and developing regions.

From a regional perspective, North America currently dominates the Artificial Intelligence in Disaster Response market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The United States, in particular, has made significant investments in AI-driven disaster management initiatives, supported by robust government funding and a mature technology ecosystem. Europe is witnessing rapid growth due to stringent regulatory requirements and cross-border collaboration on disaster response. Meanwhile, the Asia Pacific region is emerging as a high-growth market, driven by its vulnerability to natural disasters and increasing government focus on technology-driven emergency preparedness. Latin America and the Middle East & Africa are gradually adopting AI solutions, with international aid and public-private partnerships playing a pivotal role in market development.

This dataset contains a list of Community Emergency Response Training (CERT) Program which educates residents in disaster preparedness for hazards that may impact their communities and trains them in basic disaster response skills, such as fire safety, light search and rescue, team organization and disaster medical operations. Using training learned in the classroom and during hands-on exercises, CERT members can give critical assistance to others in their neighborhoods or workplace following an event when professional responders are not immediately available to help. CERT members also are encouraged to support emergency response agencies by taking a more active role in safety education and emergency preparedness projects in the community.

According to a survey that was conducted in Japan in August 2024, ** percent of respondents reported spending between one and less than *** thousand Japanese yen on natural disaster preparedness in the past year. ** percent indicated spending between *** thousand and less than ** thousand yen.

In StatBank Denmark, you will find statistics on emergency response operations. Before you disclose data from the statistics bank, we encourage you to contact us at helpdesk@odin.dk so that we can advise you on the use of data. If you use figures from StatBank Denmark, the source must be stated as: ‘Source: The Danish Emergency Management Agency, Statbank of the Danish Emergency Management Agency.” In StatBank Denmark you can find statistics on, among other things, emergency response to fire, rescue and environmental accidents, as well as summaries of alert messages to the emergency services. You can also compile statistics yourself by choosing your own search criteria. The figures can, for example, be presented on a national basis, per region or municipality, or for the individual fire station. You can choose between the periods day, week, month or year. Employees in the municipal emergency services can also extract data. Data in the StatBank primarily comes from ODIN - the Danish Emergency Management Agency's Online Data Registration and INd Reporting System, where the Danish Emergency Management Agency fills out reports with information about their emergency response and capacity. Reports in pdf format with statistics from all years since 1998 (under "Annual Statistics") are also available here: https://www.brs.dk/en/rescue preparedness authority/knowledge2 data-and-documentation/rescue preparedness statistics bank/

This dataset contains information on projects supported by Emergency Management Performance Grants (EMPG) recipients and as reported by the recipient in the Grant Reporting Tool (GRT).rnrnThe EMPG Program provides resources to assist state, local, tribal, and territorial governments in preparing for all hazards, as authorized by Section 662 of the Post Katrina Emergency Management Reform Act (6 U.S.C § 762) and the Robert T. Stafford Disaster Relief and Emergency Assistance Act, as amended (42 U.S.C. §§ 5121 et seq.). Title VI of the Stafford Act authorizes FEMA to make grants for the purpose of providing a system of emergency preparedness for the protection of life and property in the United States from hazards, and to vest responsibility for emergency preparedness jointly in the federal government and the states and their political subdivisions. The EMPG, from FY 2016 to the present, provides federal funds to assist state, local, tribal, and territorial emergency management agencies to obtain the resources required to support the National Preparedness Goal's (NPG's) associated mission areas and core capabilities. The Federal Government, through the EMPG Program, provides necessary direction, coordination, and guidance, and provides necessary assistance, as authorized in this title to support a comprehensive all hazards emergency preparedness system.rnrnThe EMPG supports a comprehensive, all-hazard emergency preparedness system by building and sustaining the core capabilities contained in the NPG’s. Examples include:rn•tCompleting the Threat and Hazard Identification and Risk Assessment (THIRA) process.rn•tStrengthening a state or community's emergency management governance structure.rn•tUpdating and approving specific emergency plans.rn•tDesigning and conducting exercises that enable whole community stakeholders to examine and validate core capabilities and the plans needed to deliver them to the targets identified through the THIRA.rn•tTargeting training and verifying identified capabilities.rn•tInitiating or achieving a whole community approach to security and emergency management.rnrnThis dataset was first made public on 10/31/2016 and is updated twice twice a year.rnrnFor additional details on the EMPG program visit: https://www.fema.gov/grants/preparedness/emergency-management-performance.rnrnThis dataset is not intended to be an official federal report and should not be considered an official federal report.rnrnCitation: The Agency’s preferred citation for datasets (API usage or file downloads) can be found on the OpenFEMA Terms and Conditions page, Citing Data section: https://www.fema.gov/about/openfema/terms-conditions.rnrnIf you have media inquiries about this dataset, please email the FEMA News Desk at FEMA-News-Desk@fema.dhs.gov or call (202) 646-3272. For inquiries about FEMA's data and Open Government program, please email the OpenFEMA team at OpenFEMA@fema.dhs.gov. For DHS-internal inquiries about this dataset, please reach out to Kelovey DeBraux at kelovey.debraux@fema.dhs.gov .

Type and address of emergency incident to which OEM responded

GIS in Disaster Management Market Outlook

The GIS in Disaster Management market size was valued at approximately $3.5 billion globally in 2023 and is projected to reach an impressive $7.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 9.3%. This significant growth is driven by the increasing frequency and intensity of natural disasters, necessitating advanced technological solutions for effective disaster management. Furthermore, the integration of Geographic Information Systems (GIS) with real-time data analytics and IoT devices has amplified the utility of GIS in predicting, responding to, and mitigating the impacts of disasters.

One of the primary growth factors driving the GIS in Disaster Management market is the increasing prevalence of natural disasters, which has heightened the need for advanced disaster management solutions. Governments and organizations worldwide are investing heavily in GIS technologies to enhance their disaster preparedness and response capabilities. For instance, the increasing frequency of hurricanes, floods, and wildfires has prompted significant investments in GIS for real-time data collection, analysis, and visualization, enabling more efficient resource allocation and risk management.

Another crucial driver is the technological advancements in GIS software and hardware. Innovations such as high-resolution satellite imagery, drone-based data collection, and cloud-based GIS platforms have greatly enhanced the accuracy, accessibility, and scalability of GIS applications in disaster management. These advancements make it possible to gather and analyze large volumes of spatial data quickly, thereby providing actionable insights during emergencies. As a result, emergency response teams can make better-informed decisions, ultimately saving lives and reducing property damage.

The growing collaboration between public and private sectors also contributes significantly to market growth. Governments and public safety agencies are increasingly partnering with private technology firms to leverage their expertise in GIS and related fields. This collaboration fosters the development of more sophisticated GIS tools and applications tailored to specific disaster management needs. Additionally, the availability of public funding and grants for disaster management projects encourages further innovation and adoption of GIS technologies.

The advent of a Disaster Planning Platform has revolutionized how organizations approach disaster management. These platforms integrate various technologies, including GIS, to provide a comprehensive solution for disaster preparedness and response. By offering tools for risk assessment, scenario simulation, and resource allocation, a Disaster Planning Platform enables organizations to plan effectively for potential disasters. This proactive approach not only enhances the resilience of communities but also minimizes the impact of disasters when they occur. As the frequency of natural disasters increases, the adoption of such platforms is becoming essential for both government agencies and private organizations. The ability to coordinate efforts and share real-time data across different stakeholders is a key advantage of using a Disaster Planning Platform, ensuring a more efficient and effective response to emergencies.

From a regional perspective, North America and Asia Pacific are the leading markets for GIS in disaster management. North America, with its advanced technological infrastructure and significant investments in disaster preparedness, remains at the forefront. Asia Pacific, on the other hand, is witnessing rapid growth due to its vulnerability to natural disasters and increasing government initiatives to improve disaster management systems. Europe and Latin America are also showing substantial growth, driven by regulatory requirements and increased awareness of disaster risks.

Component Analysis

The GIS in Disaster Management market can be segmented by component into hardware, software, and services. Each of these components plays a crucial role in the overall functionality and efficiency of GIS solutions in disaster management. Hardware components, including GPS devices, sensors, and drones, are vital for data collection and real-time monitoring. These devices provide accurate geospatial data, which is essential for assessing disaster impacts and planning response strategies. The hardware segment is expected to witness continuous growth, driven by technological a

Each year, County departments and agencies report performance data on core activities for public viewing on the County’s website. This dataset contains these reports for all past years starting in 2018. recordKey: A unique identifier consisting of, respectively, a code for the department and the numbers of the goal, objective, and measureGoal: Encompasses one or more objectivesObjective: A subdivision of a goal, encompasses one or more measuresTimeframe: Either Calendar Year or Fiscal Year. For example, the 2023 fiscal year began on July 1, 2022, and ended on June 30, 2023.Measure: The specific result being measuredMeasure Type: Resource (Input); Workload, Demand, Production (Output); Efficiency; Quality; or Impact (Outcome)Units: Number; Percentage; Average; or DollarsYear (for example ‘2018): The amount reported by the department for the listed measure in this fiscal or calendar year

STATA Code for the analysis in "Disaster preparedness and disaster response: Evidence from sales of emergency supplies before and after hurricanes" is included. The data are proprietary and not provided.

In order to respond to an emergency, individuals and governments must be prepared.

The data set provided structural safety assessment, non-structural safety assessment, functional aspect, and overall hospital safety index. This study assesses the disaster preparedness and safety of 14 Primary Health Centers (PHCs) across four regencies/cities in North Sumatera Province, Indonesia, using the World Health Organization/Pan American Health Organization (WHO/PAHO) Hospital Safety Index (HSI) for small and medium hospitals. A cross-sectional descriptive study was conducted from 2020 to 2024 using purposive sampling. Fourteen PHCs were selected based on regional risk exposure. Data collection followed HSI 4th edition guidelines, encompassing 166 indicators across four modules: geographic, structural, non-structural, and functional safety. Tools included document reviews, interviews, focus groups, and observations by a multidisciplinary team. Scores were assigned using a 3-point scale (0 = low, 0.5 = average, 1 = high) and analyzed through univariate analysis. Facilities were categorized as Category A (HSI ≥ 0.66), B (0.36–0.65), or C (≤ 0.35). Among the 14 PHCs, only three facilities (21.4%) fell under Category A, indicating readiness to function during disasters. Seven PHCs (50%) were classified under Category B, showing moderate capacity with notable vulnerabilities. The remaining four PHCs (28.6%) were in Category C, indicating critical safety gaps and inability to operate safely during emergencies.

Emergency Management Service Market Outlook

The global Emergency Management Service market size in 2023 is estimated to be approximately USD 15 billion and is expected to grow to USD 30 billion by 2032, with a compound annual growth rate (CAGR) of around 8%. The growth of this market is attributed to increasing occurrences of natural disasters and technological advancements in emergency management solutions. These factors are prompting governments and organizations worldwide to adopt comprehensive emergency management services to mitigate risks and enhance response capabilities. The market is expected to witness significant growth due to advancements in technology, increased focus on disaster preparedness, and a rise in public awareness regarding the need for robust emergency management strategies.

A primary driver behind the market's expansion is the increasing frequency and severity of natural disasters such as hurricanes, earthquakes, and floods. These events are compelling governments and private entities to invest heavily in emergency management services to safeguard lives and property. Furthermore, climate change has led to more unpredictable weather patterns, necessitating more sophisticated and adaptable emergency management solutions. The heightened awareness and importance given to emergency preparedness in the public and private sectors have accelerated the demand for innovative solutions and services that aid in disaster response and recovery. Enhanced communication systems, early warning systems, and real-time data analytics are among the technological advancements that have transformed the landscape of emergency management, further boosting the market's potential.

Technological innovation is another significant growth factor for the Emergency Management Service market. Developments in data analytics, Internet of Things (IoT), and artificial intelligence (AI) are enabling more effective monitoring, prediction, and response strategies. Predictive analytics and machine learning algorithms can forecast disasters more accurately, allowing for timely evacuation and response. The integration of IoT devices provides real-time data from various sources, which is crucial for making informed decisions during emergencies. As technology continues to evolve, its applications in emergency management will expand, offering new opportunities for market players to develop and provide cutting-edge solutions that cater to diverse needs and scenarios.

Government initiatives and regulations are also playing a pivotal role in the growth of the emergency management service market. Many countries are implementing stringent regulations and policies to enhance their emergency preparedness and response capabilities. These policies often mandate the adoption of advanced emergency management systems and services, driving market growth further. Additionally, international collaborations and agreements aimed at improving global disaster response mechanisms are encouraging investments in cutting-edge emergency management solutions. The support from government bodies, coupled with an increasing emphasis on public safety and disaster resilience, is expected to propel the market forward in the coming years.

Regionally, North America holds a significant share of the emergency management services market, driven by the presence of well-established infrastructure and major technology companies offering innovative solutions. However, the Asia Pacific region is projected to witness the highest growth rate during the forecast period, owing to the increasing frequency of natural disasters and rapid urbanization in countries such as China and India. Governments in these countries are investing heavily in enhancing their emergency management capabilities to safeguard citizens and infrastructure. Europe also presents substantial growth potential, supported by stringent regulations and a proactive approach to disaster management. Meanwhile, Latin America and the Middle East & Africa are gradually recognizing the importance of robust emergency management systems, presenting potential growth opportunities for market players.

Service Type Analysis

The Service Type segment of the Emergency Management Service market is bifurcated into Consulting, Training and Education, Emergency Operation Services, and Public Information Services. Consulting services are crucial for organizations and governments to develop disaster preparedness and response plans tailored to their specific needs and vulnerabilities. These services involve risk assessment and management, which are vital for identifying potential threats and devising appropriate mi

The Office of Emergency Management compiles a wide variety of information in support of Emergency Preparedness, including certain elements of the System for Risk Management Plans (SRMP), a wide variety of training and guidance materials, inventories and readiness/O&M status of equipment and response personnel. Some of the data available to EPA for this emergency preparedness includes industry trade secret information. A major component of this data asset is information compiled in the Compendium of Environmental Testing Laboratories. This information allows OEM to direct samples recovered from emergency incidents to the appropriate laboratory certified to analyze the substances in question. Also included here are all types of field readiness information, training logs, and personnel contact information.