What does the data show?

Life expectancy at birth (years) from the UK Climate Resilience Programme UK-SSPs project. The data is available for each Office for National Statistics Local Authority District (ONS LAD) shape simplified to a 10m resolution.

The data is available for the end of each decade. This dataset contains SSP1, SSP2, SSP3, SSP4 and SSP5. For more information see the table below.

Indicator

Health

Metric

Life expectancy at birth

Unit

Years

Spatial Resolution

LAD

Temporal Resolution

Decadal

Sectoral Categories

N/A

Baseline Data Source

ONS 2018

Projection Trend Source

Stakeholder process

What are the naming conventions and how do I explore the data?

This data contains a field for the year at the end of each decade. A separate field for 'Scenario' allows the data to be filtered, e.g. by scenario 'SSP3'.

To understand how to explore the data, see this page: https://storymaps.arcgis.com/stories/457e7a2bc73e40b089fac0e47c63a578

Please note, if viewing in ArcGIS Map Viewer, the map will default to 2020 values.

What are Shared Socioeconomic Pathways (SSPs)?

The global SSPs, used in Intergovernmental Panel on Climate Change (IPCC) assessments, are five different storylines of future socioeconomic circumstances, explaining how the global economy and society might evolve over the next 80 years. Crucially, the global SSPs are independent of climate change and climate change policy, i.e. they do not consider the potential impact climate change has on societal and economic choices.

Instead, they are designed to be coupled with a set of future climate scenarios, the Representative Concentration Pathways or ‘RCPs’. When combined together within climate research (in any number of ways), the SSPs and RCPs can tell us how feasible it would be to achieve different levels of climate change mitigation, and what challenges to climate change mitigation and adaptation might exist.

Until recently, UK-specific versions of the global SSPs were not available to combine with the RCP-based climate projections. The aim of the UK-SSPs project was to fill this gap by developing a set of socioeconomic scenarios for the UK that is consistent with the global SSPs used by the IPCC community, and which will provide the basis for further UK research on climate risk and resilience.

Useful links: Further information on the UK SSPs can be found on the UK SSP project site and in this storymap.Further information on RCP scenarios, SSPs and understanding climate data within the Met Office Climate Data Portal.

The Atlas of the Biosphere is a product of the Center for Sustainability and the Global Environment (SAGE), part of the Gaylord Nelson Institute for Environmental Studies at the University of Wisconsin - Madison. The goal is to provide more information about the environment, and human interactions with the environment, than any other source.

The Atlas provides maps of an ever-growing number of environmental variables, under the following categories:

Human Impacts (Humans and the environment from a socio-economic perspective; i.e., Population, Life Expectancy, Literacy Rates);

Land Use (How humans are using the land; i.e., Croplands, Pastures, Urban Lands);

Ecosystems (The natural ecosystems of the world; i.e., Potential Vegetation, Temperature, Soil Texture); and

Water Resources (Water in the biosphere; i.e., Runoff, Precipitation, Lakes and Wetlands).

Map coverages are global and regional in spatial extent. Users can download map images (jpg) and data (a GIS grid of the data in ESRI ArcView Format), and can view metadata online.

Life Expectancy by Country in 2013. This is a filtered layer based on the "Life Expectancy by country, 1960-2010 time series" layer.Life expectancy values are included for males, females, and total population. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life. Data Sources: United Nations Population Division. World Population Prospects, United Nations Statistical Division. Population and Vital Statistics Report, Census reports and other statistical publications from national statistical offices, Eurostat: Demographic Statistics, Secretariat of the Pacific Community: Statistics and Demography Programme, U.S. Census Bureau: International Database via World Bank DataBank; Natural Earth 50M scale data.

This multi-scale map shows life expectancy - a widely-used measure of health and mortality. From the County Health Rankings page about Life Expectancy:"Life Expectancy is an AverageLife Expectancy measures the average number of years from birth a person can expect to live, according to the current mortality experience (age-specific death rates) of the population. Life Expectancy takes into account the number of deaths in a given time period and the average number of people at risk of dying during that period, allowing us to compare data across counties with different population sizes.Life Expectancy is Age-AdjustedAge is a non-modifiable risk factor, and as age increases, poor health outcomes are more likely. Life Expectancy is age-adjusted in order to fairly compare counties with differing age structures.What Deaths Count Toward Life Expectancy?Deaths are counted in the county where the individual lived. So, even if an individual dies in a car crash on the other side of the state, that death is attributed to his/her home county.Some Data are SuppressedA missing value is reported for counties with fewer than 5,000 population-years-at-risk in the time frame.Measure LimitationsLife Expectancy includes mortality of all age groups in a population instead of focusing just on premature deaths and thus can be dominated by deaths of the elderly.[1] This could draw attention to areas with higher mortality rates among the oldest segment of the population, where there may be little that can be done to change chronic health problems that have developed over many years. However, this captures the burden of chronic disease in a population better than premature death measures.[2]Furthermore, the calculation of life expectancy is complex and not easy to communicate. Methodologically, it can produce misleading results caused by hidden differences in age structure, is sensitive to infant and child mortality, and tends to be overestimated in small populations."Breakdown by race/ethnicity in pop-up: (This map has been updated with new data, so figures may vary from those in this image.)There are many factors that play into life expectancy: rates of noncommunicable diseases such as cancer, diabetes, and obesity, prevalence of tobacco use, prevalence of domestic violence, and many more.Proven strategies to improve life expectancy and health in general A database of dozens of strategies can be found at County Health Rankings' What Works for Health site, sorted by Health Behaviors, Clinical Care, Social & Economic Factors, and Physical Environment. Policies and Programs listed here have been evaluated as to their effectiveness. For example, consumer-directed health plans received an evidence rating of "mixed evidence" whereas cultural competence training for health care professionals received a rating of "scientifically supported." Data from County Health Rankings (layer referenced below), available for nation, state, and county, and available in ArcGIS Living Atlas of the World.

Underground Utility Mapping Market Outlook

The underground utility mapping market has been witnessing significant growth, with its market size estimated at USD 1.2 billion in 2023. It is anticipated to reach USD 2.5 billion by 2032, demonstrating a compound annual growth rate (CAGR) of 8.3% during the forecast period. This growth can be attributed to the increasing demand for accurate underground utility visualization and mapping solutions, which are critical for urban development, infrastructure management, and reducing risks associated with construction and excavation activities. As urbanization expands globally, there is a growing need for technologies that can reliably detect and map subterranean utilities, thus driving market growth.

One of the key growth drivers for the underground utility mapping market is the rising emphasis on minimizing damage and accidents during construction activities. With the proliferation of underground utilities such as water pipes, gas lines, and electrical cables, there is an increasing need to prevent damage to these utilities, which can result in significant operational disruptions and financial liabilities. This has heightened the demand for advanced mapping technologies that can help identify the precise locations of underground assets. Moreover, regulatory frameworks across various countries are mandating utility mapping before undertaking construction projects, thus propelling market growth.

The technological advancements in mapping techniques such as electromagnetic location, ground penetrating radar, and acoustic location are also contributing significantly to the market growth. These techniques offer superior accuracy and efficiency in identifying underground utilities, making them indispensable tools for construction companies, utility service providers, and government agencies. The integration of these technologies with advanced data analytics and geographic information systems (GIS) enhances their utility, providing detailed insights into the subterranean environment and facilitating informed decision-making processes.

Another growth factor is the increasing investment in infrastructure development projects worldwide. As governments and private sectors invest heavily in developing and upgrading urban infrastructure, there is a heightened demand for reliable and precise utility mapping solutions. This trend is particularly prominent in developing regions where rapid urbanization and industrialization are underway. Additionally, the emergence of smart city initiatives, which require robust underground utility networks to support advanced technologies, is further fueling the demand for underground utility mapping solutions.

In the realm of urban development and infrastructure management, Underground Facilities Maintenance plays a pivotal role in ensuring the longevity and functionality of subterranean utilities. As cities expand and the complexity of underground networks increases, the need for regular maintenance becomes ever more critical. This involves routine inspections, repairs, and upgrades to prevent unexpected failures and extend the lifespan of utility systems. Effective maintenance strategies not only safeguard against disruptions but also optimize the performance of utilities, thereby supporting sustainable urban growth. By integrating advanced technologies and data-driven approaches, maintenance teams can proactively address potential issues, ensuring that underground facilities continue to operate efficiently and safely.

Regionally, North America holds a significant share of the underground utility mapping market, attributed to the presence of well-established infrastructure, strict regulatory standards, and high adoption of advanced technologies. Europe follows closely, driven by its strong emphasis on sustainable urban planning and infrastructure safety. The Asia Pacific region is expected to witness the highest growth rate, spurred by rapid urbanization, infrastructural development projects, and increasing government initiatives to ensure safe construction practices. Meanwhile, the Middle East & Africa and Latin America are also showing promising growth potential, as they increasingly invest in infrastructure modernization and urban development.

Component Analysis

The underground utility mapping market is segmented by components into software, hardware, and services, each playing a critical role in the comprehensive mapping process. The software segment is prim

Automotive Map Light Market Outlook

The global automotive map light market size was valued at USD 1.2 billion in 2023 and is projected to reach USD 2.3 billion by 2032, growing at a CAGR of 7.1% from 2024 to 2032. The growth of this market is primarily driven by the increasing demand for enhanced vehicle comfort and convenience, coupled with advancements in automotive lighting technology. The rise in disposable income and changing lifestyle preferences have significantly influenced the adoption of advanced interior lighting solutions, including automotive map lights. Furthermore, the integration of automotive electronics and the growing trend of vehicle customization are contributing to the market's expansion.

The automotive map light market is witnessing substantial growth due to several critical factors. Firstly, the increased consumer focus on vehicle aesthetics and interior ambiance is propelling the demand for high-quality map lights. Modern vehicles are now equipped with advanced lighting systems that enhance the overall driving experience. Secondly, the proliferation of smart and connected vehicles is catalyzing the integration of intelligent lighting solutions, including map lights. These lights are not only functional but also contribute to the overall safety and user experience, making them a preferred choice among automobile manufacturers. Additionally, the rise in nighttime driving and the need for better in-car illumination are driving the adoption of advanced map lights.

Another significant growth factor for the automotive map light market is the continuous advancements in lighting technology. The transition from traditional halogen lights to more efficient and durable LED lights has revolutionized the automotive lighting industry. LED lights offer several advantages, including lower energy consumption, longer lifespan, and better illumination quality, making them a popular choice for automotive map lights. The ongoing research and development activities aimed at improving LED technology and reducing its cost are expected to further boost market growth. Moreover, regulatory policies promoting energy-efficient lighting solutions are encouraging OEMs to adopt advanced map lights in their vehicles.

The evolving consumer preferences towards luxury and premium vehicles are also fueling the demand for sophisticated map lights. As consumers increasingly opt for vehicles with enhanced comfort and convenience features, automakers are focusing on incorporating high-end lighting solutions into their models. The growing trend of vehicle customization and personalization is further driving the demand for aftermarket map lights, allowing consumers to upgrade their vehicle’s lighting system as per their preferences. Additionally, the rising production and sales of electric vehicles (EVs) present new growth opportunities for the automotive map light market, as EV manufacturers prioritize advanced interior lighting solutions to enhance the overall driving experience.

From a regional perspective, the Asia Pacific region is expected to dominate the automotive map light market during the forecast period. The rapid urbanization, rising disposable income, and growing automotive industry in countries like China, India, and Japan are contributing to the market's growth in this region. North America and Europe are also significant markets, driven by the high demand for luxury vehicles and advanced automotive technologies. The presence of leading automotive manufacturers and their focus on incorporating innovative lighting solutions in their vehicles further supports market growth in these regions. Additionally, the Middle East & Africa and Latin America are anticipated to witness steady growth, owing to increasing vehicle sales and the growing popularity of vehicle customization.

Product Type Analysis

The automotive map light market by product type is segmented into LED, Halogen, and Incandescent lights. Among these, LED lights are projected to dominate the market during the forecast period. LED map lights have gained significant popularity due to their superior energy efficiency, longer lifespan, and better illumination quality compared to traditional lighting solutions. The ongoing advancements in LED technology, along with the declining cost of production, are making LED lights more accessible and affordable for both OEMs and consumers. Furthermore, the growing consumer awareness regarding the benefits of LED lights, such as reduced energy consumption and lower maintenance costs, is driving their adoption in the automotive industry.

Halogen map lights, on

ABSTRACT CONTEXT AND OBJECTIVE: Traffic accidents have gained prominence as one of the modern epidemics that plague the world. The objective of this study was to identify the spatial distribution of potential years of life lost (PYLL) due to accidents involving motorcycles in the state of São Paulo, Brazil. DESIGN AND SETTING: Ecological and exploratory study conducted in São Paulo. METHODS: Data on deaths among individuals aged 20-39 years due to motorcycle accidents (V20-V29 in the International Classification of Diseases, 10th revision) in the state of São Paulo in the years 2007-2011 were obtained from DATASUS. These data were stratified into a database for the 63 microregions of this state, according to where the motorcyclist lived. PYLL rates per 100,000 inhabitants were calculated. Spatial autocorrelations were estimated using the Global Moran index (IM). Thematic, Moran and Kernel maps were constructed using PYLL rates for the age groups of 20-29 and 30-39 years. The Terraview 4.2.2 software was used for the analysis. RESULTS: The PYLL rates were 486.9 for the ages of 20-29 years and 199.5 for 30-39 years. Seventeen microregions with high PYLL rates for the age group of 20-29 years were identified. There was higher density of these rates on the Kernel map of the southeastern region (covering the metropolitan region of São Paulo). There were no spatial autocorrelations between rates. CONCLUSIONS: The data presented in this study identified microregions with high accident rates involving motorcycles and microregions that deserve special attention from regional managers and traffic experts.

地図(マップ)上に60歳女性の平均余命の統計データを都道府県別で色分け表示しています。過去から現在までの60歳女性の平均余命の推移も階級区分図(コロプレスマップ)で変化が見えるよう高速読込で可視化し、どの都道府県が長いかが視覚で理解できます。GeoJsonの無料ダウンロードも可能です。研究や分析レポートにお役立て下さい。

地図(マップ)上に40歳男性の平均余命の統計データを都道府県別で色分け表示しています。過去から現在までの40歳男性の平均余命の推移も階級区分図(コロプレスマップ)で変化が見えるよう高速読込で可視化し、どの都道府県が長いかが視覚で理解できます。GeoJsonの無料ダウンロードも可能です。研究や分析レポートにお役立て下さい。