Office for National Statistics’ national and subnational total mid-year population estimates for England and Wales for a selection of administrative and census areas by sex for 2012 to 2020. The data is source is from ONS Population Estimates. Find out more about this dataset here.

This data is issued at (BGC) Generalised (20m) boundary type for:

Country, Region, Upper Tier Local Authority (2021), Lower Tier Local Authority (2021), Middle Super Output Area (2011), and Lower Super Output Area (2011).

If you require the data at full resolution boundaries, or if you are interested in the range of statistical data that Esri UK make available in ArcGIS Online please enquire at dataenquiries@esriuk.com.

The Office for National Statistics (ONS) produces annual estimates of the resident population of England and Wales at 30 June every year. The most authoritative population estimates come from the census, which takes place every 10 years in the UK. Population estimates from a census are updated each year to produce mid-year population estimates (MYEs), which are broken down by local authority, sex and age. More detailed information on the methods used to generate the mid-year population estimates can be found here.

For further information on the usefulness of the data and guidance on small area geographies please see here.The currency of this data is 2021.

Methodology

The total and 5-year breakdown population counts are reproduced directly from the source data. The age range estimates have been calculated from the published estimates by single year of age. The percentages are calculated using the gender specific (total, female or male) total population count as a denominator except in the case of the male and female total population where the total population is used to give female and male proportions.

This dataset will be updated annually, in two releases.

Creator: Office for National Statistics. Aggregated age groupings and percentages calculated by Esri UK._The data services available from this page are derived from the National Data Service. The NDS delivers thousands of open national statistical indicators for the UK as data-as-a-service. Data are sourced from major providers such as the Office for National Statistics, Public Health England and Police UK and made available for your area at standard geographies such as counties, districts and wards and census output areas. This premium service can be consumed as online web services or on-premise for use throughout the ArcGIS system.Read more about the NDS.

Interactive analysis of estimated UK population change, by geography, age and sex. Annual estimates are for mid-2011 to mid-2016.

This report was released in September 2010. However, recent demographic data is available on the datastore - you may find other datasets on the Datastore useful such as: GLA Population Projections, National Insurance Number Registrations of Overseas Nationals, Births by Birthplace of Mother, Births and Fertility Rates, Office for National Statistics (ONS) Population Estimates

FOCUSONLONDON2010:POPULATIONANDMIGRATION

London is the United Kingdom’s only city region. Its population of 7.75 million is 12.5 per cent of the UK population living on just 0.6 per cent of the land area. London’s average population density is over 4,900 persons per square kilometre, this is ten times that of the second most densely populated region.

Between 2001 and 2009 London’s population grew by over 430 thousand, more than any other region, accounting for over 16 per cent of the UK increase.

This report discusses in detail the population of London including Population Age Structure, Fertility and Mortality, Internal Migration, International Migration, Population Turnover and Churn, and Demographic Projections.

Population and Migration report is the first release of the Focus on London 2010-12 series. Reports on themes such as Income, Poverty, Labour Market, Skills, Health, and Housing are also available.

REPORT:

Read the full report in PDF format.

https://londondatastore-upload.s3.amazonaws.com/fol/FocusOnLondonCoverweb.jpg" alt=""/>

PRESENTATION:

To access an interactive presentation about population changes in London click the link to see it on Prezi.com

DATA:

To access a spreadsheet with all the data from the Population and Migration report click on the image below.

Report data

MAP:

To enter an interactive map showing a number of indicators discussed in the Population and Migration report click on the image below.

Interactive Maps

FACTS:

● Top five boroughs for babies born per 10,000 population in 2008-09:

1. Newham – 244.4
2. Barking and Dagenham – 209.3
3. Hackney – 205.7
4. Waltham Forest – 202.7
5. Greenwich – 196.2

-32. Havering – 116.8

-33. City of London – 47.0

● In 2009, Barnet overtook Croydon as the most populous London borough. Prior to this Croydon had been the largest since 1966

● Population per hectare of land used for Domestic building and gardens is highest in Tower Hamlets

● In 2008-09, natural change (births minus deaths) led to 78,000 more Londoners compared with only 8,000 due to migration. read more about this or click play on the chart below to reveal how regional components of populations change have altered over time.

In Poland, ** to 29-year-olds were the generation that most frequently used map and locator applications and websites. According to the survey, users in this age group had an average monthly usage time of ** minutes.

Interactive maps from the National Integrated Drought Information System.

Drought is one of many factors that can affect the intensity and severity of a fire. Dry, hot, and windy weather combined with dried out (and more flammable) vegetation can increase the potential for large-scale wildfires. Use the interactive map below to explore wildfire, smoke, and air quality data alongside drought and climate conditions.

Drought can have significant impacts on water utility operation, including loss of water supply, poor source water quality, increased costs, and reduced revenues. Use the interactive map below to explore water supply data (streamflow, river forecasts, snow water equivalent) alongside drought and climate conditions.

Drought can have significant direct and indirect economic impacts on the agricultural sector, reducing the water availability and water quality necessary for productive farms, ranches, and grazing lands. Use the interactive map below to explore agricultural commodities data alongside drought and climate conditions.

Levels of Noise Pollution in Hampshire and the Isle of Wight Integrated Care System (ICS) during Nighttime and 24-Hour Periods Based on Data from Strategic Noise Mapping. An Interactive Map Application Recommended Citation: Tsimpida, D., & Tsakiridi, A. (2025). Levels of noise pollution in Hampshire and the Isle of Wight Integrated Care System (ICS) during nighttime and 24-hour periods based on data from strategic noise mapping: An interactive map application. License: CC BY – This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. Information about Geographic Location of Data Collection: England Related Projects: Tsimpida, D., Environmental Health and Wellbeing Dynamics: Mapping High-Exposure Neighbourhoods and Assessing Transportation Noise Pollution's Impact on Population Health. This project is funded by the Sustainability & Resilience Institute (SRI), University of Southampton. The views expressed are those of the author(s) and not necessarily those of SRI or the University of Southampton. Methodological Information: To quantify noise pollution, we used the new Noise Mapping Geographic Information Systems (GIS) datasets developed by Defra that calculate noise exposure levels and are openly available: Department for Environment, Food & Rural Affairs. Strategic noise mapping (2022) [Internet]. 2024. Available from: https://www.gov.uk/government/publications/strategic-noise-mapping-2022 For our analyses, we used both the day-evening-night level (Lden) and the night level (Lnight). The Lden level is a noise metric used to assess overall annoyance, calculated as the annual average A-weighted sound level over a 24-hour period. This measure includes a 5-decibel (dB(A)) penalty for evening noise (7 pm to 11 pm) and a 10 dB(A) penalty for nighttime noise (11 pm to 7 am). The Lnight is a nighttime noise indicator that reflects the annual average A-weighted sound level during the night period (11 pm to 7 am), representing the total sound energy equivalent to the fluctuating noise levels experienced throughout that period. _ Geospatial Analysis Information: All geospatial models in this study used Lower Super Output Areas (LSOAs) as the unit of analysis. In all analyses, we used the LSOA boundaries published by the Office for National Statistics as of March 21, 2021: Office for National Statistics. Census 2021 geographies [Internet]. 2021. Available from: https://www.ons.gov.uk/methodology/geography/ukgeographies/censusgeographies/census2021geographies _ Integrated Care Board Boundaries: Digital vector boundaries for Integrated Care Boards in England were those published by the Office for National Statistics: Integrated Care Boards (April 2023) EN BGC [Internet]. 2023. Available from: https://www.data.gov.uk/dataset/d6bcd7d1-0143-4366-9622-62a99b362a5c/integrated-care-boards-april-2023-en-bgc This version of the dataset, https://doi.org/10.5258/soton/d3377v2, was updated on 2015/02/17. The previous version is available at https://doi.org/10.5258/soton/d3377v1

The Snow and Water Interactive Map displays both current and historic hydrometeorological data in an easy-to-use, visual interface. The Snow and Water Interactive Map displays both current and historic hydrometeorological data in an easy-to-use, visual interface. The information on the map comes from many sources. Natural Resources Conservation Service snowpack and precipitation data are derived from manually-collected snow courses and automated Snow Telemetry (SNOTEL) and Soil Climate Analysis Network (SCAN) stations. Other data sources include precipitation, streamflow, and reservoir data from the U.S. Bureau of Reclamation (BoR), the Applied Climate Information System (ACIS), the U.S. Geological Survey (USGS), and other hydrometeorological monitoring entities. Information supplied by the map is updated three times daily.

The Interactive Map has two regions: the map display (on the left) and the map controls (on the right). You use the map controls to determine both the display mode and the types of data and stations to show on the map.

Interactive map service (http://ims.sea.gov.ua:8081/website/Atlas_forAll_en/viewer.htm), based on GIS database ATLAS has been created by UkrSCES to provide an integrated picture of the modern state of the Black Sea coastal zone. It provides information on the geography of NWBS coastal zone and coastal water areas, as well as data on demography, natural resources, economy and pollution. The work is financed under the auspices of the Ministry for Environmental Protection of Ukraine. ATLAS is organised around several themes and elements, comprising interactive maps, statistical data, and descriptions. The cartography is based on the digital topographic chart of Ukraine (scale 1:500,000) and includes the following thematic layers: * Natural resources, * Protected territories, * Pollution resources, * Recreational potential, * Coastal zone. The main part of the descriptive text of ATLAS is drawn from the results of various studies that were undertaken by UkrSCES from 1993 to 2006. ATLAS allows users to select and display information on the resources, state and condition оf the NWBS coastal zone. This interactive service can be employed not only by experts and those responsible for decision-making, but also by the general public. It represents a major contribution to Ukraine's responsibilities under the Aarhus Convention for access to environmental information.

This mapping tool provides a representation of the general watershed boundaries for stream systems declared fully appropriated by the State Water Board. The boundaries were created by Division of Water Rights staff by delineating FASS critical reaches and consolidating HUC 12 sub-watersheds to form FASS Watershed boundaries. As such, the boundaries are in most cases conservative with respect to the associated stream system. However, users should check neighboring FASS Watersheds to ensure the stream system of interest is not restricted by other FASS listings. For more information regarding the Declaration of Fully Appropriated Stream Systems, visit the Division of Water Rights’ Fully Appropriated Streams webpage. How to Use the Interactive Mapping Tool: If it is your first time viewing the map, you will need to click the “OK” box on the splash screen and agree to the disclaimer before continuing. Navigate to your point of interest by either using the search bar or by zooming in on the map. You may enter a stream name, street address, or watershed ID in the search bar. Click on the map to identify the location of interest and one or more pop-up boxes may appear with information about the fully appropriated stream systems within the general watershed boundaries of the identified location. The information provided in the pop-up box may include: (a) stream name, (b) tributary, (c) season declared fully appropriated, (d) Board Decisions/Water Right Orders, and/or (e) court references/adjudications. You may toggle the FAS Streams reference layer on and off to find representative critical reaches associated with the FASS Watershed layer. Please note that this layer is for general reference purposes only and ultimately the critical reach listed in Appendix A of Water Rights Order 98-08 and Appendix A together with any associated footnotes controls. Note: A separate FAS Watershed boundary layer was created for the Bay-Delta Watershed. The Bay-Delta Watershed layer should be toggled on to check if the area of interest is fully appropriated under State Water Board Decision 1594.

This layer was created by Duncan Smith and based on work by the European Commission JRC and CIESIN. A description from his website follows:--------------------A brilliant new dataset produced by the European Commission JRC and CIESIN Columbia University was recently released- the Global Human Settlement Layer (GHSL). This is the first time that detailed and comprehensive population density and built-up area for the world has been available as open data. As usual, my first thought was to make an interactive map, now online at- http://luminocity3d.org/WorldPopDen/The World Population Density map is exploratory, as the dataset is very rich and new, and I am also testing out new methods for navigating statistics at both national and city scales on this site. There are clearly many applications of this data in understanding urban geographies at different scales, urban development, sustainability and change over time.

Explore the interactive maps showing the average delay and average speed on the Strategic Road Network and local ‘A’ roads in England, in 2022.

On the Strategic Road Network (SRN) for 2022, the average delay is estimated to be 9.3 seconds per vehicle per mile (spvpm), compared to free flow, a 9.4% increase on 2021 and a 2.1% decrease on 2019.

The average speed is estimated to be 58.1 mph, down 1.4% from 2021 and up 0.2% from 2019.

On local ‘A’ roads for 2022, the average delay was estimated to be 45.5 seconds per vehicle per mile compared to free flow, up 2.5% from 2021 and down 2.8% from 2019 (pre-coronavirus)

The average speed is estimated to be 23.7 mph, down 1.7% from 2021 and up 2.2% from 2019 (pre-coronavirus).

Average speeds in 2022 have stabilised towards similar trends observed before the effects of the coronavirus pandemic.

The outbreak of coronavirus (COVID-19) has had a marked impact on everyday life, including on congestion on the road network. As some of these data are affected by the coronavirus pandemic in the UK, caution should be taken when interpreting these statistics and comparing them with other time periods. Additional http://bit.ly/COVID_Congestion_Analysis" class="govuk-link">analysis on the impact of the coronavirus pandemic on road journeys in 2020 is also available. This Storymap contains charts and interactive maps for road journeys in England in 2020.

Contact us

The NRCS National Water and Climate Center's Interactive Map displays both current and historic hydrometeorological data in an easy-to-use, visual interface. The information on the map comes from many sources. Natural Resources Conservation Service snowpack and precipitation data are derived from manually-collected snow courses and automated Snow Telemetry (SNOTEL) and Soil Climate Analysis Network (SCAN) stations. Other data sources include precipitation, streamflow, and reservoir data from the U.S. Bureau of Reclamation (BoR), the Applied Climate Information System (ACIS), the U.S. Geological Survey (USGS), and other hydrometeorological monitoring entities. The Interactive Map has two regions: the map display itself, and the map controls which determine both the display mode and the types of data and stations to show on the map: Display Modes; Map Components; Station Conditions Controls; Basin Conditions Controls; Station Inventory Controls. Resources in this dataset:Resource Title: Interactive Map home. File Name: Web Page, url: https://www.nrcs.usda.gov/wps/portal/wcc/home/quicklinks/predefinedMaps/ The Interactive Map provides spatial visualization of current and historic hydrometeorological data collected by the Natural Resources Conservation Service and other monitoring agencies. The map also provides station inventories based on sensor and geographic filters. This page has links to pre-defined maps organized by data type. After opening a map, users can zoom to area of interest, customize the map, and then bookmark the URL to save the settings.

This is a link to the Utah Geological Survey's Utah FORGE Interactive Geoscience Map. The map layers include information on geology, geography, subsurface temperatures, seismicity, gravity and groundwater. Instructions for using the interactive map and a legend for the interactive map can be found on the map. The goal of the Utah Frontier Observatory for Research in Geothermal Energy (FORGE) project is to enable cutting-edge research and drilling and technology testing, as well as to allow scientists to identify a replicable, commercial pathway to enhanced geothermal systems (EGS).

Interactive maps and downloadable data for regional and global Geology, Geochemistry, Geophysics, and Mineral Resources, provided by USGS. Multiple useful links for materials to help understand the geology of locations.

Explore the interactive maps showing the average delay and average speed on the Strategic Road Network and Local ‘A’ Roads in England, in 2020.

Additional http://bit.ly/COVID_Congestion_Analysis" class="govuk-link">Analysis on the impact of the Coronavirus (COVID-19) pandemic on the road journeys is also available. This story map contains charts and interactive maps for road journeys in England.

On the Strategic Road Network (SRN) for 2020, the average delay is estimated to be 6.7 seconds per vehicle per mile compared to speed limits travel times, a 29.5% decrease compared to 2019.

The average speed is estimated to be 61.8mph, 5.1% up on 2019.

In 2020, on average 42.1% of additional time was needed compared to speed limits travel times, on individual road sections of the SRN to ensure on time arrival. This is down 25.2 percentage points compared to 2019, so on average a lower proportion of additional time is required.

On local ‘A’ roads for 2020, the average delay is estimated to be 33.9 seconds per vehicle per mile compared to free flow travel times. This is a decrease of 22.8% on 2019.

The average speed is estimated to be 27.3 mph. This is an increase of 8.2% on 2019.

The outbreak of coronavirus (COVID-19) has had a marked impact on everyday life, including on congestion on the road network. As these data are affected by the coronavirus pandemic in the UK, caution should be taken when interpreting these statistics and comparing them with previous time periods. While values had previously been moving towards their pre-lockdown levels, this trend appears to have reversed in the months following September 2020.

Contact us

GEODATA TOPO 250K Series 3 is a vector representation of the major features appearing on 1:250,000 scale NATMAP topographic maps and is supplied in various formats over a defined area. It is primarily designed to provide high quality data for mapping and GIS professionals. Data includes powerlines and pipelines and is supplied for commercial GIS and public use in the formats described below. GEODATA TOPO 250K Series 3 is available as a packaged product in Personal Geodatabase, ArcView Shapefile or MapInfo TAB file formats. Each package includes data arranged in ten main themes - cartography, elevation, framework, habitation, hydrography, infrastructure, terrain, transport, utility and vegetation. Data is also available as GEODATA TOPO 250K Series 3 for Google Earth in .kml format for use on Google Earth TM Mapping Service. All data is based on GDA94 coordinate system, however .kml format data has been converted to WGS84. Use of GEODATA TOPO 250K Series 3 is subject to a licence, the full terms of which are contained within the package. Interactive Maps, Geoscience Australia`s on-line map download system, delivering free download of seamless data. MapConnect will allow you to select a specific area (subject to parameters) and themes or select individual tiles for download. Data will be available in GML and Shape file formats. Customised 250K GEODATA is available where requirements are not met by the packaged or Interactive Maps options. The price will be determined after assessing your needs - contact the Geoscience Australia Sales Centre. Alternately, we may refer you to a third party supplier. Packaged product formats - Personal geodatabase (Geocat # 63999), Shapefiles (Geocat # 64058), TAB files (Geocat # 64059), KML files for use with Google Earth (Geocat # 65137). Product Specifications Themes: Cartography, Elevation, Framework, Habitation, Hydrography, Infrastructure, Terrain, Transport, Utility and Vegetation Coverage: National (Powerlines not available in South Australia) Currency: Data has a currency of less than five years for any location Coordinates: Geographical Datum: Geocentric Datum of Australia (GDA94) Formats: Personal Geodatabase, ArcView Shapefile and MapInfo TAB Medium: Packaged DVD ROM ($99 per package) or online via Interactive Maps Previous Version: Replaces GEODATA TOPO 250K Series 2

In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Offshore of Coal Oil Point map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Offshore Coal Oil Point map area data layers. Data layers are symbolized as shown on the associated map sheets.

The mapviews extension enhances CKAN by adding the capability to display data as interactive maps, including both regular maps and choropleth maps. By utilizing LeafletJS, which offers broad browser compatibility, the extension allows users to visualize datasets geographically. This enhances data exploration and understanding within the CKAN platform. Key Features: Regular and Choropleth Maps: Enables visualization of datasets on maps, offering both standard map views and choropleth maps that represent data variations across geographic regions. LeafletJS Integration: Leverages LeafletJS, a JavaScript library, to create interactive and responsive maps, ensuring compatibility with a wide range of web browsers (IE7+ and modern browsers). GeoJSON Support: Supports GeoJSON format for defining geographical boundaries and features, allowing integration with various GIS data sources. Data Linking: Provides a mechanism to link data from a tabular resource to geographical features in a GeoJSON resource, allowing for data-driven map visualizations. Interactive Filters: Allows filtering of data based on regions clicked on the map. URL Redirection: Can redirect to another page with filters set based on the region clicked, enhancing navigation within a CKAN instance to resources that relate to the region. Integration with CKAN: The extension integrates with CKAN by providing new Resource View types, navigablemap and choroplethmap. These views can be added to resources within CKAN datasets. The extension utilizes CKAN's plugin system, requiring activation via the ckan.plugins configuration setting, and makes use of the Resource View functionality. Benefits & Impact: The mapviews extension provides enhanced data visualization capabilities within CKAN, allowing users to explore and understand spatial data more effectively. The interactive maps, can help reveal patterns, trends, through geographic data. The filtering capabilities further promote data discovery and analysis, enabling the user to examine regional variations in that are represented within the data which may include social, economic, or environmental factors.