About this dataset

Context

The dataset tabulates the St. George population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of St. George across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of St. George was 1,122, a 0.45% increase year-by-year from 2022. Previously, in 2022, St. George population was 1,117, an increase of 2.67% compared to a population of 1,088 in 2021. Over the last 20 plus years, between 2000 and 2023, population of St. George increased by 661. In this period, the peak population was 1,122 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the St. George is shown in this column.
• Year on Year Change: This column displays the change in St. George population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for St. George Population by Year. You can refer the same here

Graph and download economic data for Total Gross Domestic Product for St. George, UT (MSA) (NGMP41100) from 2001 to 2023 about St. George, UT, industry, GDP, and USA.

Financial overview and grant giving statistics of St. George Community Development Corporation

About this dataset

Context

The dataset tabulates the St. George town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of St. George town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of St. George town was 808, a 1% increase year-by-year from 2022. Previously, in 2022, St. George town population was 800, an increase of 0.38% compared to a population of 797 in 2021. Over the last 20 plus years, between 2000 and 2023, population of St. George town increased by 88. In this period, the peak population was 808 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the St. George town is shown in this column.
• Year on Year Change: This column displays the change in St. George town population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for St. George town Population by Year. You can refer the same here

Find the updated USDA growing zone for St. George, WV.

About this dataset

Context

The dataset tabulates the St. George town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of St. George town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of St. George town was 2,610, a 0.76% decrease year-by-year from 2022. Previously, in 2022, St. George town population was 2,630, an increase of 0.31% compared to a population of 2,622 in 2021. Over the last 20 plus years, between 2000 and 2023, population of St. George town increased by 22. In this period, the peak population was 2,724 in the year 2009. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the St. George town is shown in this column.
• Year on Year Change: This column displays the change in St. George town population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for St. George town Population by Year. You can refer the same here

The LTR Genie Score of St. George, UT is 69 and STR Genie Score is 58, indicating a high and moderate level of attractiveness for long-term rental and short-term rental investments, respectively. The high LTR Rentability and LTR Net ROI suggest that the market is favorable for long-term rental investments, while the moderate STR Genie Score and STR Net ROI indicate that short-term rental opportunities may not be as lucrative in this area. St. George, UT is known for its stunning red rock landscapes, outdoor recreational activities, and growing economy. With a LTR Rent Growth Rate of 0.0% and a 1-Year Price Appreciation Forecast of 0.0%, investors should consider the stable rental market and potential for long-term returns in this area.Overall, St. George, UT appears to be more attractive for long-term rental investments based on the metrics provided. Investors looking for stable rental income and solid returns may find this market to be a promising opportunity for real estate investment.

About this dataset

Context

The dataset tabulates the St. George population by year. The dataset can be utilized to understand the population trend of St. George.

Content

The dataset constitues the following datasets

• St. George, KS Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

About this dataset

Context

The dataset tabulates the St. George township population by year. The dataset can be utilized to understand the population trend of St. George township.

Content

The dataset constitues the following datasets

• St. George Township, Minnesota Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Saint George Community Storymap.

The specific monitoring goals in 2009 were to estimate productivity and/or population parameters for seven indicator species representing four major feeding guilds: 1) diving fish-feeders (red-faced cormorants [Phalacrocorax urile] and common and thick-billed murres [Uria aalge and U. lomvia], 2) surface fish-feeders (black-legged and red-legged kittiwakes [Rissa tridactyla and R. brevirostris], 3) diving plankton feeders (least auklets [Aethia pusilla]), and 4) surface plankton-feeders (northern fulmars [Fulmarus glacialis]). Additional monitoring goals include the description of breeding chronology, food habits, chick growth, and adult survival for one or more of the above species. Detailed results of the 2009 monitoring program are contained in these appendices and archived at the AMNWR headquarters in Homer, Alaska. Summary data will also be included in the annual Alaska seabird monitoring summary report. Due to occasional reanalysis of some data, correction of typographical errors, and efforts to standardize presentation across sites, some values used in this report have changed from previous versions. The values presented here are considered the cleanest data set available at the time this report was issued and should supersede previous reports. In addition, 2009 marked the second of three years of field work for the seabird colony-based component of the Bering Sea Integrated Ecosystem Research Program (BSIERP), a collaborative project examining the response of seabirds breeding on the Pribilof Islands to potential changes in food availability due to climate change. This work is summarized in separate reports to the North Pacific Research Board but is closely tied to data collected by the refuge annual monitoring program.

description: The Alaska Maritime National Wildlife Refuge (AMNWR) conducts annual ecological monitoring at nine sites throughout Alaska. The objective of this long-term monitoring program is to collect baseline status and trend information for a suite of seabird species representing piscivorous and planktivorous trophic guilds, including key species that serve as indicators of ecosystem health. Members of these guilds include surface feeders and divers feeding in both nearshore and offshore waters. By relating data to environmental conditions and information from other sites, ecosystem processes may be better understood. Data also provide a basis for directing management and research actions, and in assessing effects of management. The specific monitoring goals in 2011 were to estimate productivity and/or population parameters for six indicator species representing three major feeding guilds: 1) diving fish-feeders (red-faced cormorants [Phalacrocorax urile] and common and thick-billed murres [Uria aalge and U. lomvia]), 2) surface fishfeeders (black-legged and red-legged kittiwakes [Rissa tridactyla and R. brevirostris]), and 3) diving plankton feeders (least auklets [Aethia pusilla]). Additional monitoring goals include the description of breeding chronology, food habits, chick growth, and adult survival for one or more of the above species.; abstract: The Alaska Maritime National Wildlife Refuge (AMNWR) conducts annual ecological monitoring at nine sites throughout Alaska. The objective of this long-term monitoring program is to collect baseline status and trend information for a suite of seabird species representing piscivorous and planktivorous trophic guilds, including key species that serve as indicators of ecosystem health. Members of these guilds include surface feeders and divers feeding in both nearshore and offshore waters. By relating data to environmental conditions and information from other sites, ecosystem processes may be better understood. Data also provide a basis for directing management and research actions, and in assessing effects of management. The specific monitoring goals in 2011 were to estimate productivity and/or population parameters for six indicator species representing three major feeding guilds: 1) diving fish-feeders (red-faced cormorants [Phalacrocorax urile] and common and thick-billed murres [Uria aalge and U. lomvia]), 2) surface fishfeeders (black-legged and red-legged kittiwakes [Rissa tridactyla and R. brevirostris]), and 3) diving plankton feeders (least auklets [Aethia pusilla]). Additional monitoring goals include the description of breeding chronology, food habits, chick growth, and adult survival for one or more of the above species.

Find the updated USDA growing zone for St. George Island, MD.

At continuous monitoring sites throughout Maryland, water quality is monitored at shallow water sites located in Chesapeake Bay, Chesapeake Bay tributaries and Maryland Coastal Bay tributaries. YSI (6600 V2 or EXO2) data loggers sample seven environmental parameters: water temperature, specific conductance, dissolved oxygen concentration, oxygen percent saturation, pH, turbidity and fluorescence. Water depth is measured at stations where loggers were deployed at fixed depths. Salinity and chlorophyll are derived from specific conductance and fluorescence, respectively. Each parameter is generally sampled at 15-minute intervals. Most continuous monitoring sites are deployed during the SAV growing season (April-October) with a few sites deployed year-round.

Every four years, the Wasatch Front’s two metropolitan planning organizations (MPOs), Wasatch Front Regional Council (WFRC) and Mountainland Association of Governments (MAG), collaborate to update a set of annual small area -- traffic analysis zone and ‘city area’, see descriptions below) -- population and employment projections for the Salt Lake City-West Valley City (WFRC), Ogden-Layton (WFRC), and Provo-Orem (MAG) urbanized areas.

These projections are primarily developed for the purpose of informing long-range transportation infrastructure and services planning done as part of the 4 year Regional Transportation Plan update cycle, as well as Utah’s Unified Transportation Plan, 2023-2050. Accordingly, the foundation for these projections is largely data describing existing conditions for a 2019 base year, the first year of the latest RTP process. The projections are included in the official travel models, which are publicly released at the conclusion of the RTP process.

Projections within the Wasatch Front urban area ( SUBAREAID = 1) were produced with using the Real Estate Market Model as described below. Socioeconomic forecasts produced for Cache MPO (Cache County, SUBAREAID = 2), Dixie MPO (Washington County, SUBAREAID = 3), Summit County (SUBAREAID = 4), and UDOT (other areas of the state, SUBAREAID = 0) all adhere to the University of Utah Gardner Policy Institute's county-level projection controls, but other modeling methods are used to arrive at the TAZ-level forecasts for these areas.

As these projections may be a valuable input to other analyses, this dataset is made available here as a public service for informational purposes only. It is solely the responsibility of the end user to determine the appropriate use of this dataset for other purposes.

Wasatch Front Real Estate Market Model (REMM) Projections

WFRC and MAG have developed a spatial statistical model using the UrbanSim modeling platform to assist in producing these annual projections. This model is called the Real Estate Market Model, or REMM for short. REMM is used for the urban portion of Weber, Davis, Salt Lake, and Utah counties. REMM relies on extensive inputs to simulate future development activity across the greater urbanized region. Key inputs to REMM include:

Demographic data from the decennial census
County-level population and employment projections -- used as REMM control totals -- are produced by the University of Utah’s Kem C. Gardner Policy Institute (GPI) funded by the Utah State Legislature
Current employment locational patterns derived from the Utah Department of Workforce Services
Land use visioning exercises and feedback, especially in regard to planned urban and local center development, with city and county elected officials and staff
Current land use and valuation GIS-based parcel data stewarded by County Assessors
Traffic patterns and transit service from the regional Travel Demand Model that together form the landscape of regional accessibility to workplaces and other destinations
Calibration of model variables to balance the fit of current conditions and dynamics at the county and regional level

‘Traffic Analysis Zone’ Projections

The annual projections are forecasted for each of the Wasatch Front’s 3,546 Traffic Analysis Zone (TAZ) geographic units. TAZ boundaries are set along roads, streams, and other physical features and average about 600 acres (0.94 square miles). TAZ sizes vary, with some TAZs in the densest areas representing only a single city block (25 acres).

‘City Area’ Projections

The TAZ-level output from the model is also available for ‘city areas’ that sum the projections for the TAZ geographies that roughly align with each city’s current boundary. As TAZs do not align perfectly with current city boundaries, the ‘city area’ summaries are not projections specific to a current or future city boundary, but the ‘city area’ summaries may be suitable surrogates or starting points upon which to base city-specific projections.

Summary Variables in the Datasets

Annual projection counts are available for the following variables (please read Key Exclusions note below):

Demographics

Household Population Count (excludes persons living in group quarters) 
Household Count (excludes group quarters) 

Employment

Typical Job Count (includes job types that exhibit typical commuting and other travel/vehicle use patterns)
Retail Job Count (retail, food service, hotels, etc)
Office Job Count (office, health care, government, education, etc)
Industrial Job Count (manufacturing, wholesale, transport, etc)
Non-Typical Job Count* (includes agriculture, construction, mining, and home-based jobs) This can be calculated by subtracting Typical Job Count from All Employment Count 
All Employment Count* (all jobs, this sums jobs from typical and non-typical sectors).

• These variables includes REMM’s attempt to estimate construction jobs in areas that experience new and re-development activity. Areas may see short-term fluctuations in Non-Typical and All Employment counts due to the temporary location of construction jobs.

Key Exclusions from TAZ and ‘City Area’ Projections

As the primary purpose for the development of these population and employment projections is to model future travel in the region, REMM-based projections do not include population or households that reside in group quarters (prisons, senior centers, dormitories, etc), as residents of these facilities typically have a very low impact on regional travel. USTM-based projections also excludes group quarter populations. Group quarters population estimates are available at the county-level from GPI and at various sub-county geographies from the Census Bureau.

Statewide Projections

Population and employment projections for the Wasatch Front area can be combined with those developed by Dixie MPO (St. George area), Cache MPO (Logan area), and the Utah Department of Transportation (for the remainder of the state) into one database for use in the Utah Statewide Travel Model (USTM). While projections for the areas outside of the Wasatch Front use different forecasting methods, they contain the same summary-level population and employment projections making similar TAZ and ‘City Area’ data available statewide. WFRC plans, in the near future, to add additional areas to these projections datasets by including the projections from the USTM model.

T-LOFT Property Development Ltd (TLPDL) is undertaking the construction of a mixed-use facility in Saint Kitts and Nevis.The project involves the construction of a 170-room hotel and condominium complex on a 2.9ha land. It includes the construction of suites, club house, 41-condominium units in six independent buildings, a swimming pool, restaurants, a bar, a lobby, entertainment facilities and parking facilities, and the installation of safety and security systems.The project is developed in two phases.TLPDL's in-house division is undertaking the construction work.On December 5, 2013, a ground breaking ceremony was held on the project.Construction works are underway.The first phase is expected to be completed by the third quarter of 2017, while the second phase should be completed by the first quarter of 2018. Read More

A dataset containing the 100 latest settled sales in CSV format for St Georges Basin - Erowal Bay as at March-2025, data sourced from the NSW Valuer General, geocoded and analyzed by AreaSearch.

Grenada Port Congestion: Anchorage Stay Duration: St Georges: Dry Bulk data was reported at 3.800 Day in 14 Apr 2025. This records an increase from the previous number of 3.000 Day for 31 Mar 2025. Grenada Port Congestion: Anchorage Stay Duration: St Georges: Dry Bulk data is updated weekly, averaging 1.100 Day from Mar 2022 (Median) to 14 Apr 2025, with 29 observations. The data reached an all-time high of 3.800 Day in 14 Apr 2025 and a record low of 0.100 Day in 02 May 2022. Grenada Port Congestion: Anchorage Stay Duration: St Georges: Dry Bulk data remains active status in CEIC and is reported by Marine Traffic. The data is categorized under Global Database’s Grenada – Table GD.MT.PCN: Port Congestion: Anchorage Stay Duration: by Port and Vessel Type.

Every four years, the Wasatch Front’s two metropolitan planning organizations (MPOs), Wasatch Front Regional Council (WFRC) and Mountainland Association of Governments (MAG), collaborate to update a set of annual small area -- traffic analysis zone and ‘city area’, see descriptions below) -- population and employment projections for the Salt Lake City-West Valley City (WFRC), Ogden-Layton (WFRC), and Provo-Orem (MAG) urbanized areas.

These projections are primarily developed for the purpose of informing long-range transportation infrastructure and services planning done as part of the 4 year Regional Transportation Plan update cycle, as well as Utah’s Unified Transportation Plan, 2023-2050. Accordingly, the foundation for these projections is largely data describing existing conditions for a 2019 base year, the first year of the latest RTP process. The projections are included in the official travel models, which are publicly released at the conclusion of the RTP process.

Projections within the Wasatch Front urban area ( SUBAREAID = 1) were produced with using the Real Estate Market Model as described below. Socioeconomic forecasts produced for Cache MPO (Cache County, SUBAREAID = 2), Dixie MPO (Washington County, SUBAREAID = 3), Summit County (SUBAREAID = 4), and UDOT (other areas of the state, SUBAREAID = 0) all adhere to the University of Utah Gardner Policy Institute's county-level projection controls, but other modeling methods are used to arrive at the TAZ-level forecasts for these areas.

As these projections may be a valuable input to other analyses, this dataset is made available here as a public service for informational purposes only. It is solely the responsibility of the end user to determine the appropriate use of this dataset for other purposes.

Wasatch Front Real Estate Market Model (REMM) Projections

WFRC and MAG have developed a spatial statistical model using the UrbanSim modeling platform to assist in producing these annual projections. This model is called the Real Estate Market Model, or REMM for short. REMM is used for the urban portion of Weber, Davis, Salt Lake, and Utah counties. REMM relies on extensive inputs to simulate future development activity across the greater urbanized region. Key inputs to REMM include:

Demographic data from the decennial census
County-level population and employment projections -- used as REMM control totals -- are produced by the University of Utah’s Kem C. Gardner Policy Institute (GPI) funded by the Utah State Legislature
Current employment locational patterns derived from the Utah Department of Workforce Services
Land use visioning exercises and feedback, especially in regard to planned urban and local center development, with city and county elected officials and staff
Current land use and valuation GIS-based parcel data stewarded by County Assessors
Traffic patterns and transit service from the regional Travel Demand Model that together form the landscape of regional accessibility to workplaces and other destinations
Calibration of model variables to balance the fit of current conditions and dynamics at the county and regional level

‘Traffic Analysis Zone’ Projections

The annual projections are forecasted for each of the Wasatch Front’s 3,546 Traffic Analysis Zone (TAZ) geographic units. TAZ boundaries are set along roads, streams, and other physical features and average about 600 acres (0.94 square miles). TAZ sizes vary, with some TAZs in the densest areas representing only a single city block (25 acres).

‘City Area’ Projections

The TAZ-level output from the model is also available for ‘city areas’ that sum the projections for the TAZ geographies that roughly align with each city’s current boundary. As TAZs do not align perfectly with current city boundaries, the ‘city area’ summaries are not projections specific to a current or future city boundary, but the ‘city area’ summaries may be suitable surrogates or starting points upon which to base city-specific projections.

Summary Variables in the Datasets

Annual projection counts are available for the following variables (please read Key Exclusions note below):

Demographics

Household Population Count (excludes persons living in group quarters) 
Household Count (excludes group quarters) 

Employment

Typical Job Count (includes job types that exhibit typical commuting and other travel/vehicle use patterns)
Retail Job Count (retail, food service, hotels, etc)
Office Job Count (office, health care, government, education, etc)
Industrial Job Count (manufacturing, wholesale, transport, etc)
Non-Typical Job Count* (includes agriculture, construction, mining, and home-based jobs) This can be calculated by subtracting Typical Job Count from All Employment Count 
All Employment Count* (all jobs, this sums jobs from typical and non-typical sectors).

• These variables includes REMM’s attempt to estimate construction jobs in areas that experience new and re-development activity. Areas may see short-term fluctuations in Non-Typical and All Employment counts due to the temporary location of construction jobs.

Key Exclusions from TAZ and ‘City Area’ Projections

As the primary purpose for the development of these population and employment projections is to model future travel in the region, REMM-based projections do not include population or households that reside in group quarters (prisons, senior centers, dormitories, etc), as residents of these facilities typically have a very low impact on regional travel. USTM-based projections also excludes group quarter populations. Group quarters population estimates are available at the county-level from GPI and at various sub-county geographies from the Census Bureau.

Statewide Projections

Population and employment projections for the Wasatch Front area can be combined with those developed by Dixie MPO (St. George area), Cache MPO (Logan area), and the Utah Department of Transportation (for the remainder of the state) into one database for use in the Utah Statewide Travel Model (USTM). While projections for the areas outside of the Wasatch Front use different forecasting methods, they contain the same summary-level population and employment projections making similar TAZ and ‘City Area’ data available statewide. WFRC plans, in the near future, to add additional areas to these projections datasets by including the projections from the USTM model.

Grenada Port Congestion: Anchorage Stay Duration: St Georges: All data was reported at 1.200 Day in 05 May 2025. This records an increase from the previous number of 0.300 Day for 28 Apr 2025. Grenada Port Congestion: Anchorage Stay Duration: St Georges: All data is updated weekly, averaging 0.600 Day from Feb 2022 (Median) to 05 May 2025, with 156 observations. The data reached an all-time high of 2.500 Day in 19 Sep 2022 and a record low of 0.000 Day in 04 Apr 2022. Grenada Port Congestion: Anchorage Stay Duration: St Georges: All data remains active status in CEIC and is reported by Marine Traffic. The data is categorized under Global Database’s Grenada – Table GD.MT.PCN: Port Congestion: Anchorage Stay Duration: by Port and Vessel Type.