Statistics illustrates consumption, production, prices, and trade of Maps and hydrographic or similar charts; printed in book form, including atlases, topographical plans and similar articles in Saint Vincent and the Grenadines from 2007 to 2024.

The St. Vincent road network was digitized from the 1:25000 (2 sheets) topographic maps produced by the Directorate of Overseas Surveys, Ordnance Survey, United Kingdom 1983. Each topographic map was scanned and registered UTM Zone 20 NAD 1927 before digitizing. Digitization was preformed in ArcGIS 8.3 and enhanced with the ArcScan extension. IKONOS imagery from 2000-2001 was then used to update the islands road network as well as differentiate between main highways, secondary highways, paved, and unpaved roads.

Statistics illustrates consumption, production, prices, and trade of Maps and hydrographic or similar charts; (printed other than in book form), including wall maps, topographical plans and similar in Saint Vincent and the Grenadines from Jan 2019 to May 2025.

Saint Vincent and the Grenadines: Financial institutions development, depth: The latest value from 2021 is 0.258 index points, a decline from 0.259 index points in 2020. In comparison, the world average is 0.291 index points, based on data from 175 countries. Historically, the average for Saint Vincent and the Grenadines from 1980 to 2021 is 0.23 index points. The minimum value, 0.137 index points, was reached in 1986 while the maximum of 0.358 index points was recorded in 2008.

This scatter chart displays land area (km²) against urban population living in areas where elevation is below 5 meters (% of total population) in St. Vincent and the Grenadines. The data is about countries per year.

This scatter chart displays urban population living in areas where elevation is below 5 meters (% of total population) against GDP (current US$) in St. Vincent and the Grenadines. The data is about countries per year.

IntroductionClimate Central’s Surging Seas: Risk Zone map shows areas vulnerable to near-term flooding from different combinations of sea level rise, storm surge, tides, and tsunamis, or to permanent submersion by long-term sea level rise. Within the U.S., it incorporates the latest, high-resolution, high-accuracy lidar elevation data supplied by NOAA (exceptions: see Sources), displays points of interest, and contains layers displaying social vulnerability, population density, and property value. Outside the U.S., it utilizes satellite-based elevation data from NASA in some locations, and Climate Central’s more accurate CoastalDEM in others (see Methods and Qualifiers). It provides the ability to search by location name or postal code.The accompanying Risk Finder is an interactive data toolkit available for some countries that provides local projections and assessments of exposure to sea level rise and coastal flooding tabulated for many sub-national districts, down to cities and postal codes in the U.S. Exposure assessments always include land and population, and in the U.S. extend to over 100 demographic, economic, infrastructure and environmental variables using data drawn mainly from federal sources, including NOAA, USGS, FEMA, DOT, DOE, DOI, EPA, FCC and the Census.This web tool was highlighted at the launch of The White House's Climate Data Initiative in March 2014. Climate Central's original Surging Seas was featured on NBC, CBS, and PBS U.S. national news, the cover of The New York Times, in hundreds of other stories, and in testimony for the U.S. Senate. The Atlantic Cities named it the most important map of 2012. Both the Risk Zone map and the Risk Finder are grounded in peer-reviewed science.Back to topMethods and QualifiersThis map is based on analysis of digital elevation models mosaicked together for near-total coverage of the global coast. Details and sources for U.S. and international data are below. Elevations are transformed so they are expressed relative to local high tide lines (Mean Higher High Water, or MHHW). A simple elevation threshold-based “bathtub method” is then applied to determine areas below different water levels, relative to MHHW. Within the U.S., areas below the selected water level but apparently not connected to the ocean at that level are shown in a stippled green (as opposed to solid blue) on the map. Outside the U.S., due to data quality issues and data limitations, all areas below the selected level are shown as solid blue, unless separated from the ocean by a ridge at least 20 meters (66 feet) above MHHW, in which case they are shown as not affected (no blue).Areas using lidar-based elevation data: U.S. coastal states except AlaskaElevation data used for parts of this map within the U.S. come almost entirely from ~5-meter horizontal resolution digital elevation models curated and distributed by NOAA in its Coastal Lidar collection, derived from high-accuracy laser-rangefinding measurements. The same data are used in NOAA’s Sea Level Rise Viewer. (High-resolution elevation data for Louisiana, southeast Virginia, and limited other areas comes from the U.S. Geological Survey (USGS)). Areas using CoastalDEM™ elevation data: Antigua and Barbuda, Barbados, Corn Island (Nicaragua), Dominica, Dominican Republic, Grenada, Guyana, Haiti, Jamaica, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, San Blas (Panama), Suriname, The Bahamas, Trinidad and Tobago. CoastalDEM™ is a proprietary high-accuracy bare earth elevation dataset developed especially for low-lying coastal areas by Climate Central. Use our contact form to request more information.Warning for areas using other elevation data (all other areas)Areas of this map not listed above use elevation data on a roughly 90-meter horizontal resolution grid derived from NASA’s Shuttle Radar Topography Mission (SRTM). SRTM provides surface elevations, not bare earth elevations, causing it to commonly overestimate elevations, especially in areas with dense and tall buildings or vegetation. Therefore, the map under-portrays areas that could be submerged at each water level, and exposure is greater than shown (Kulp and Strauss, 2016). However, SRTM includes error in both directions, so some areas showing exposure may not be at risk.SRTM data do not cover latitudes farther north than 60 degrees or farther south than 56 degrees, meaning that sparsely populated parts of Arctic Circle nations are not mapped here, and may show visual artifacts.Areas of this map in Alaska use elevation data on a roughly 60-meter horizontal resolution grid supplied by the U.S. Geological Survey (USGS). This data is referenced to a vertical reference frame from 1929, based on historic sea levels, and with no established conversion to modern reference frames. The data also do not take into account subsequent land uplift and subsidence, widespread in the state. As a consequence, low confidence should be placed in Alaska map portions.Flood control structures (U.S.)Levees, walls, dams or other features may protect some areas, especially at lower elevations. Levees and other flood control structures are included in this map within but not outside of the U.S., due to poor and missing data. Within the U.S., data limitations, such as an incomplete inventory of levees, and a lack of levee height data, still make assessing protection difficult. For this map, levees are assumed high and strong enough for flood protection. However, it is important to note that only 8% of monitored levees in the U.S. are rated in “Acceptable” condition (ASCE). Also note that the map implicitly includes unmapped levees and their heights, if broad enough to be effectively captured directly by the elevation data.For more information on how Surging Seas incorporates levees and elevation data in Louisiana, view our Louisiana levees and DEMs methods PDF. For more information on how Surging Seas incorporates dams in Massachusetts, view the Surging Seas column of the web tools comparison matrix for Massachusetts.ErrorErrors or omissions in elevation or levee data may lead to areas being misclassified. Furthermore, this analysis does not account for future erosion, marsh migration, or construction. As is general best practice, local detail should be verified with a site visit. Sites located in zones below a given water level may or may not be subject to flooding at that level, and sites shown as isolated may or may not be be so. Areas may be connected to water via porous bedrock geology, and also may also be connected via channels, holes, or passages for drainage that the elevation data fails to or cannot pick up. In addition, sea level rise may cause problems even in isolated low zones during rainstorms by inhibiting drainage.ConnectivityAt any water height, there will be isolated, low-lying areas whose elevation falls below the water level, but are protected from coastal flooding by either man-made flood control structures (such as levees), or the natural topography of the surrounding land. In areas using lidar-based elevation data or CoastalDEM (see above), elevation data is accurate enough that non-connected areas can be clearly identified and treated separately in analysis (these areas are colored green on the map). In the U.S., levee data are complete enough to factor levees into determining connectivity as well.However, in other areas, elevation data is much less accurate, and noisy error often produces “speckled” artifacts in the flood maps, commonly in areas that should show complete inundation. Removing non-connected areas in these places could greatly underestimate the potential for flood exposure. For this reason, in these regions, the only areas removed from the map and excluded from analysis are separated from the ocean by a ridge of at least 20 meters (66 feet) above the local high tide line, according to the data, so coastal flooding would almost certainly be impossible (e.g., the Caspian Sea region).Back to topData LayersWater Level | Projections | Legend | Social Vulnerability | Population | Ethnicity | Income | Property | LandmarksWater LevelWater level means feet or meters above the local high tide line (“Mean Higher High Water”) instead of standard elevation. Methods described above explain how each map is generated based on a selected water level. Water can reach different levels in different time frames through combinations of sea level rise, tide and storm surge. Tide gauges shown on the map show related projections (see just below).The highest water levels on this map (10, 20 and 30 meters) provide reference points for possible flood risk from tsunamis, in regions prone to them.

The stratigraphic, tectonic setting and evolution of mainly Cambrian sediments are considered in relation to hydrocarbon generation and entrapment. Index maps were prepared of geological, aeromagnetic, gravity and seismic data and interpreted to... The stratigraphic, tectonic setting and evolution of mainly Cambrian sediments are considered in relation to hydrocarbon generation and entrapment. Index maps were prepared of geological, aeromagnetic, gravity and seismic data and interpreted to produce structure contour maps of the sub-Cambrian surface, latest Early Cambrian unconformity, and sub-Permian surface. Potential for hydrocarbon development and structural accumulation in Parara Limestone equivalents were recognized, within the Early Cambrian Marsden anticlinal structure. Further geophysical investigation of southern St. Vincent Gulf may be warranted.

Interpretation of airborne geophysical data covering the Gulf St Vincent region has utilised predominantly 1964 vintage gravity and aeromagnetics that have been digitised off original Beach Petroleum contour maps, plus limited well log and seismic... Interpretation of airborne geophysical data covering the Gulf St Vincent region has utilised predominantly 1964 vintage gravity and aeromagnetics that have been digitised off original Beach Petroleum contour maps, plus limited well log and seismic depth information on three target sedimentary horizons; this has also lately been augmented by the recently to hand results of a high resolution aeromagnetic survey flown by Canyon in April 1994. The project objective was to delineate basement structures and faults and to confirm the suspected presence of subtle cross faults, in support of seismic interpretation of possible reef build-ups associated with fracturing and tectonic controls on porosity development.

This scatter chart displays fertility rate (births per woman) against urban population living in areas where elevation is below 5 meters (% of total population) in St. Vincent and the Grenadines. The data is about countries per year.