16 datasets found
  1. a

    Years of Most Predominant GDP Growth

    • hub.arcgis.com
    Updated Aug 24, 2017
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    ArcGIS Living Atlas Team (2017). Years of Most Predominant GDP Growth [Dataset]. https://hub.arcgis.com/maps/aa1f66346ab24b37a2b544f8a94529d2
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    Dataset updated
    Aug 24, 2017
    Dataset authored and provided by
    ArcGIS Living Atlas Team
    Area covered
    Description

    This map represents the year(s) which had the most growth in GDP per state in the USA. This is shown by representing the predominant rate of growth between any two years from 1997 to 2016. The map is anchored around the 2008 recession, so that years of predominant growth BEFORE 2008 are in shades of green, and years of predominant growth AFTER 2008 are in shades of blue. The darkest greens had peaks in growth farther in the past, and the darkest shade of blue had the most recent peak in growth.Data is from the US Bureau of Economic Analysis and was downloaded from here. The state boundaries are generalized 2010 state boundaries from the Census Bureau's 2010 MAF/TIGER database. Note-- NAICS Industry detail is based on the 2007 North American Industry Classification System (NAICS).

  2. U.S. real per capita GDP 2023, by state

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). U.S. real per capita GDP 2023, by state [Dataset]. https://www.statista.com/statistics/248063/per-capita-us-real-gross-domestic-product-gdp-by-state/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    Out of all 50 states, New York had the highest per-capita real gross domestic product (GDP) in 2023, at 90,730 U.S. dollars, followed closely by Massachusetts. Mississippi had the lowest per-capita real GDP, at 39,102 U.S. dollars. While not a state, the District of Columbia had a per capita GDP of more than 214,000 U.S. dollars. What is real GDP? A country’s real GDP is a measure that shows the value of the goods and services produced by an economy and is adjusted for inflation. The real GDP of a country helps economists to see the health of a country’s economy and its standard of living. Downturns in GDP growth can indicate financial difficulties, such as the financial crisis of 2008 and 2009, when the U.S. GDP decreased by 2.5 percent. The COVID-19 pandemic had a significant impact on U.S. GDP, shrinking the economy 2.8 percent. The U.S. economy rebounded in 2021, however, growing by nearly six percent. Why real GDP per capita matters Real GDP per capita takes the GDP of a country, state, or metropolitan area and divides it by the number of people in that area. Some argue that per-capita GDP is more important than the GDP of a country, as it is a good indicator of whether or not the country’s population is getting wealthier, thus increasing the standard of living in that area. The best measure of standard of living when comparing across countries is thought to be GDP per capita at purchasing power parity (PPP) which uses the prices of specific goods to compare the absolute purchasing power of a countries currency.

  3. a

    How did 2008 change the growth of US GDP?

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hub.arcgis.com
    Updated Aug 26, 2017
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    ArcGIS Living Atlas Team (2017). How did 2008 change the growth of US GDP? [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/arcgis-content::how-did-2008-change-the-growth-of-us-gdp/about
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    Dataset updated
    Aug 26, 2017
    Dataset authored and provided by
    ArcGIS Living Atlas Team
    Area covered
    Description

    This map portrays the change in Gross Domestic Product (GDP) by state before and after the 2008 USA recession. This is shown by comparing the percent change of GDP from 2000-2008 and the percent change of GDP from 2008-2016. The size of the circles represents the percent change over time. Blue circles represent the growth rate BEFORE 2008Purple circles represent the growth rate AFTER 2008The pop-up is configured to provide a comparison of the two rates.Notice which states had a significant drop in growth, while other states had minimal difference. Data is from the US Bureau of Economic Analysis and was downloaded from here. The state boundaries are generalized 2010 state boundaries from the Census Bureau's 2010 MAF/TIGER database. Note-- NAICS Industry detail is based on the 2007 North American Industry Classification System (NAICS).

  4. r

    Growth Centers

    • rigis.org
    • hub.arcgis.com
    • +1more
    Updated Apr 13, 2006
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    Environmental Data Center (2006). Growth Centers [Dataset]. https://www.rigis.org/datasets/growth-centers
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    Dataset updated
    Apr 13, 2006
    Dataset authored and provided by
    Environmental Data Center
    Area covered
    Description

    The Growth Centers data on the Future Land Use Map were developed for the Division of Planning, RI Statewide Planning Program as part of an update to a state land use plan. These data are included in the Plan as Figure 121-02-(01), Future Land Use Map. The growth centers were an end product of a GIS overlay analysis of land suitability and scenario planning for future growth. Initially the factors for centers included 9 urban communities; Providence, East Providence, Pawtucket, Cranston, Central Falls, Warwick, West Warwick, Newport and Woonsocket as potential urban centers as opposed to identifying specific neighborhoods in those municipalities. Historical downtowns and traditional mixed-use central business cores in urban fringe / suburban communities were included as potential town centers, as well as, some of the historical village downtowns and some traditional mixed-use cores in rural communities. All communities in the State either include one or more existing or potential centers or are within the Urban Services Boundary on the map. The growth centers shown in these data were selected by the Statewide Planning staff, the Technical Committee and the State Planning Council through a series of discussions at public meetings, and comments received at public hearings and workshops in the final adoption of Land Use 2025 in 2006. Centers depicted on the Future Land Use 2025 map are illustrative of potential new centers that may be established. It is not a intended as a comprehensive inventory of existing centers. Other centers may be illustrated and or proposed in municipal comprehensive plans. Full descriptions of the methodology for the GIS analysis and scenario planning can be found within the Technical Appendix D to Land Use 2025, Geographic Analysis for Land Available and Suitable for Development for Land Use 2025. Land Use 2025: State Land Use Policies and Plan was published by the RI Statewide Planning Program on April 13, 2006. The Plan directs the state and communities to concentrate growth inside the Urban Services Boundary (USB) and within potential growth centers in rural areas. It establishes different development approaches for urban and rural areas. This Map has several purposes and applications: It is intended to be used as a policy guide for directing growth to areas most capable of supporting current and future developed uses and to direct growth away from areas less suited for development. Secondly, the Map is a guide to assist the state and communities in making land use policies. It is important to note the Map is a generalized portrayal of state land use policy. It is not a statewide zoning map. Zoning matters and individual land use decisions are the prerogative of local governments. Growth Centers are envisioned to be areas that will encourage development that is both contiguous to existing development with low fiscal and environmental impacts. They are intended to be compact developed areas (existing or new) containing a defined central core that accommodate community needs for residential and economic functions. Centers are intended to provide optimum use of land and services, and offer a choice of diverse housing stock, economic functions, and cultural and governmental uses. Density will vary greatly between centers subject to site constraints; however, it is intended that they will share the common characteristic of compact development that capitalizes on existing infrastructure. Centers should reflect traditional New England development patterns with a human scale of blocks, streets, open spaces that offer walkability and access to transit where available. In suburban areas, centers should be distinguished from surrounding sprawling development by a closer proximity between residential and non-residential uses. In rural areas, centers should be surrounded by natural areas, farmland, or open space, and may have a mixed-use and or commercial area in the core for neighborhood-scale goods and services. The land use element is the over arching element in Rhode Island's State Guide Plan. The Plan articulates goals, objectives and strategies to guide the current and future land use planning of municipalities and state agencies. The purpose of the plan is to guide future land use and to present policies under which state and municipal plans and land use activities will be reviewed for consistency with the State Guide Plan. The Map is a graphical representation of recommendations for future growth patterns in the State. The Map contains a USB that shows where areas with public services supporting urban development presently exist, or are likely to be provided, through 2025. Also included on the map are growth centers which are potential areas for development and redevelopment outside of the USB. These data will be updated when plan is updated or upon an amendment approved by the State Planning Council.

  5. f

    OC Development Authority

    • data.ferndalemi.gov
    • detroitdata.org
    • +5more
    Updated Oct 16, 2016
    + more versions
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    Oakland County, Michigan (2016). OC Development Authority [Dataset]. https://data.ferndalemi.gov/maps/oakgov::oc-development-authority
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    Dataset updated
    Oct 16, 2016
    Dataset authored and provided by
    Oakland County, Michigan
    Area covered
    Description

    BY USING THIS WEBSITE OR THE CONTENT THEREIN, YOU AGREE TO THE TERMS OF USE. The DevelopmentAuthority polygon feature class identifies certain types of entities that encourage development/redevelopment in designated areas. This feature class currently represents Downtown Development Authorities (DDA), Tax Increment Finance Authorities (TIFA), and Local Development Finance Authorities (LDFA); however, it will also depict Corridor Improvement Authorities (CIA) and Brownfield Redevelopment Authorities (BRA) in the future. These five types of authorities have the ability to capture tax increment financing (TIF). The features were digitized using legal descriptions, parcel lists, and maps that were provided to the State of Michigan Office of the Great Seal and/or Oakland County Equalization by the authority. The key attributes are Name (official name of the authority), Type (the type of development authority), and DevelopmentPlan (yes/no indicating if the feature represents an area that is part of a development plan and can caputre tax increment financing).Tax Increment Financing is a tool used to promote redevelopment and community improvement projects by channeling funding toward projects in targeted areas. TIF is captured from the increase of property values from a base year. Millage rates from taxing jurisdictions are applied to the increased value. The resulting tax revenue is directed to the authority, rather than the appropriate jurisdiction. Beginning in 1994, taxing jurisdictions have the option to "opt out" of having its taxes captured by the authority. Also since 1994, school taxes may no longer be captured unless they are necessary to make payments on existing eligible obligations. For more information about TIF, see Michigan Department of Treasury's Tax Increment Financing FAQ web page at http://www.michigan.gov/treasury/0,1607,7-121-3218---F,00.html. The State of Michigan has adopted enabling legislation to allow TIF through five types of authorities. Each type of authority has a focus relating to development/redevelopment: Downtown Development Authority (PA 197 of 1975) Correct and prevent deterioration in business districtsEncourage historic preservationPromote economic growth of the districts Tax Increment Finance Authority (PA 450 of 1980)Prevent urban deteriorationEncourage economic development and activityEncourage neighborhood revitalization and historic preservationClosed to new applicants since 1987Allows the development of virtually any type of land use Local Development Finance Authority (PA 281 of 1986)Encourage local developmentPromote conditions of employmentPromote economic growthLimited to business activities involving:ManufacturingAgricultural processingHigh-technology activitiesEnergy productionBusiness incubators Brownfield Redevelopment Authority (PA 381 of 1996)Promote revitalization, redevelopment, and reuse of certain propertyFocus on tax reverted, blighted, or functionally obsolete propertyMDEQ must approve brownfield redevelopment areas Corridor Improvement Authority (PA 281 of 2005)Correct and prevent deterioration in business districtsEncourage historic preservationPromote economic growth of the districtsMust be adjacent to a road classified as an arterial or collectorThese quasi-public entities are created by resolution through a community's governing body. CIA and LDFA boundaries may cross municipal boundaries. In the case of these multi-jurisdictional authorities, both communities must pass resolutions establishing authority. There is currently only one Joint LDFA (Cities of Southfield and Troy) and there are no CIAs in Oakland County. When the community establishes the authority, it must also define the geographic boundaries in which it will operate. DDAs and CIAs are authorized to levy and collect taxes through a special assessment on all properties within the authority boundary. After the authority and its boundaries are established, the authority creates a tax increment financing and development plan. The plan estimates the amount of tax increment financing that will be captured and lists specific projects on which it will be spent. It also defines the development area where the tax increment financing and projects will occur. The development area must be completely within the authority boundary; however, it may be coincident with the authority boundary. An authority may contain multiple development areas, each with its own development and tax increment financing plan. BRAs normally designate development areas as a one or two parcels for a specific development project, while the other types of authorities define development areas as a larger area. Also, LDFAs are only allowed to capture TIF from parcels in a permitted use, such as manufacturing. There may be both eliglible and inelgible parcels within a development area; however, the inelgible parcels do not participate in TIF capture. The base year used to calculate the amount of tax increment financing is set when the development plan is adopted. If the development plan is expanded at a later date, the base year could be reset for the entire development area or the capture could be calculated using multiple base years. The source for the base year was the tax billing code used by Oakland County Equalization. When no tax billing code was available (for communities that don't use the county's assessing system), the community was contacted to obtain the base year. When two separate authorities overlap, each authority can establish overlapping development areas. The authority that first created the development area has first claim on tax increment financing capture. Authority boundaries are represented using multiple features when the development area is not coincident with the authority boundary. One feature represents the development area and a second feature represents the remainder of the authority district that is not part of the development area. Multiple features are also used to represent authorities that have multiple development areas or development areas that have multiple base years. Brownfield Redevelopment Authorities are unique in that the authority boundaries are generally defined as the entire municipality. For this reason, the non-development areas of BRA's have been excluded from this data. The following list shows communities in Oakland County that have established a BRA: City of Auburn Hills City of Birmingham City of Farmington City of Farmington Hills City of Ferndale City of Hazel Park Charter Township of Highland Village of Holly City of Madison Heights Village of Milford County of Oakland City of Oak Park City of Pontiac City of Rochester City of Rochester Hills Charter Twp of Royal Oak City of Royal Oak City of Southfield City of Troy Charter Township of Waterford Source documents for the boundary of each feature were obtained from the State of Michigan Office of the Great Seal, Oakland County Equalization, and the Oakland County Treasurer's office. These could be in the form of a legal description, parcel list, and/or map. For several boundaries, multiple sources were available and conflicted with each other. When this occurred, hierarchy was given to the legal description, then a parcel list, over the map, and the conflict is noted in the Comments field. However, if a parcel was shown in a parcel list, but not described in the authority based on the legal description, then it was still shown in the authority.It should also be noted that legal descriptions were not digitized using exact coordinate geometry. Instead, features were created by referencing the legal description to snap vertices to parcels, right-of-way, section corners, subdivisions, and lots. Features digitized from a legal description or map included road and railroad rights-of-way as it was described or shown in the document.For vague legal descriptions and parcel lists, right-of-way was addressed uniquely for each authority. Some source documents had statements that all or half of the surrounding right-of-way is to be included in the boundary, but some did not address right-of-way at all. In these cases, right-of-way was addressed distinctly for each authority based on the type of authority and the source documents with the method used recorded in the Comments field. The data will be updated on an "as needed" basis when authorities amend their development plans or new authorities are established. Oakland County Equalization and the Oakland County Treasurer's Office will notify and forward the source documents of necessary revisions to Oakland County Planning and Economic Development Services who is the custodian of the feature class. Communities will be contacted annually to verify that the districts have not changed without the knowledge of county departments. In particular, county departments may not be aware of BRA development projects when no TIF is captured. Lastly, because the tax parcel feature class is revised periodically and it is important for the features to be coincident with the tax parcel feature class, the development authority feature class will also be updated annually to correct conflicts due to parcel shifting.

  6. T

    United States Inflation Rate

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 15, 2025
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    TRADING ECONOMICS (2025). United States Inflation Rate [Dataset]. https://tradingeconomics.com/united-states/inflation-cpi
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    json, excel, xml, csvAvailable download formats
    Dataset updated
    Jul 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1914 - Jun 30, 2025
    Area covered
    United States
    Description

    Inflation Rate in the United States increased to 2.70 percent in June from 2.40 percent in May of 2025. This dataset provides - United States Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  7. d

    MD iMAP: Maryland Priority Funding Areas

    • catalog.data.gov
    • opendata.maryland.gov
    Updated Apr 12, 2025
    + more versions
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    opendata.maryland.gov (2025). MD iMAP: Maryland Priority Funding Areas [Dataset]. https://catalog.data.gov/dataset/md-imap-maryland-priority-funding-areas
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    Dataset updated
    Apr 12, 2025
    Dataset provided by
    opendata.maryland.gov
    Area covered
    Maryland
    Description

    Maryland Priority Funding Areas Priority Funding Areas are existing communities and places where local governments want State investment to support future growth. The 1997 Priority Funding Areas Act capitalizes on the influence of State expenditures on economic growth and development. Funding for projects in municipalities, other existing communities, industrial areas, and planned growth areas designated by counties receive priority State funding over other projects. The data is updated on a regular basis by the Maryland Department of Planning. Any inquiries about this data can be sent to DLMDP-GIS_MDP@maryland.gov. This is a Maryland Department of Planning hosted service. Find more information on https://imap.maryland.gov Map Service Link: https://mdgeodata.md.gov/imap/rest/services/PlanningCadastre/MD_PriorityFundingAreas/FeatureServer

  8. d

    MD iMAP: Maryland Priority Funding Areas

    • datasets.ai
    • catalog.data.gov
    • +1more
    21
    Updated Aug 27, 2024
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    State of Maryland (2024). MD iMAP: Maryland Priority Funding Areas [Dataset]. https://datasets.ai/datasets/md-imap-maryland-priority-funding-areas
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    21Available download formats
    Dataset updated
    Aug 27, 2024
    Dataset authored and provided by
    State of Maryland
    Area covered
    Maryland
    Description

    This is a Maryland Department of Planning hosted service.Priority Funding Areas are existing communities and places where local governments want State investment to support future growth. The 1997 Priority Funding Areas Act capitalizes on the influence of State expenditures on economic growth and development. Funding for projects in municipalities - other existing communities - industrial areas - and planned growth areas designated by counties receive priority State funding over other projects. Last Updated: 6/11/2015 Map Service Link: http://mdpgis.mdp.state.md.us/arcgis/rest/services/ PlanningCadastre/Priority_Funding_Areas/MapServer ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

  9. Real GDP growth rates in Europe 2024

    • statista.com
    • ai-chatbox.pro
    Updated Jun 2, 2025
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    Statista (2025). Real GDP growth rates in Europe 2024 [Dataset]. https://www.statista.com/statistics/686147/gdp-growth-europe/
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    Dataset updated
    Jun 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Europe
    Description

    The fastest growing economy in Europe in 2024 was Malta. The small Mediterranean country's gross domestic product grew at five percent in 2024, beating out Montenegro which had a growth rate of almost four percent and the Russian Federation which had a rate of 3.6 percent in the same year. Estonia was the country with the largest negative growth in 2024, as the Baltic country's economy shrank by 0.88 percent compared with 2023, largely as a result of the country's exposure to the economic effects of Russia's invasion of Ukraine and the subsequent economic sanctions placed on Russia. Germany, Europe's largest economy, experience economic stagnation with a growth of 0.1 percent. Overall, the EU (which contains 27 European countries) registered a growth rate of one percent and the Eurozone (which contains 20) grew by 0.8 percent.

  10. GDP growth rate forecasts in European Union 2025

    • statista.com
    • ai-chatbox.pro
    Updated Jun 23, 2025
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    Statista (2025). GDP growth rate forecasts in European Union 2025 [Dataset]. https://www.statista.com/statistics/1102546/coronavirus-european-gdp-growth/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    European Union, Europe
    Description

    The economy of the European Union is set to grow by *** percent in 2025, according to forecasts by the European Commission. This marks a significant slowdown compared to previous years, when the EU member states grew quickly in the aftermath of the COVID pandemic. ***** is the country which is forecasted to grow the most in 2025, with an annual growth rate of *** percent. Many of Europe's largest economies, on the other hand, are set to experiencing slow growth or stagnation, with Germany, France, and Italy growing below *** percent.

  11. m

    Locations of Shopping Malls in Bergen and Morris Counties in NJ

    • data.mendeley.com
    Updated Oct 31, 2023
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    Michaela Kazimierczyk (2023). Locations of Shopping Malls in Bergen and Morris Counties in NJ [Dataset]. http://doi.org/10.17632/6nhbr7tnzw.1
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    Dataset updated
    Oct 31, 2023
    Authors
    Michaela Kazimierczyk
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New Jersey, Bergen
    Description

    This data set presents the locations of malls within two New Jersey counties, Bergen and Morris. When NJ counties are ranked per capita income, Morris County is found second on the list and Bergen County is found fourth. Having residents with higher incomes can increase spending at shopping malls. This could explain why Paramus, in Bergen County, is the town with the most malls in the state. One of the major malls found here is the Garden State Plaza Mall which is the most earning mall in NJ, worth more than 2.7 billion. As well as this, the presence of malls in communities can increase development in the area which can lead to higher property values and additional economic activity.

    The data was gathered using the Google website. The data includes the locations and names of the shopping malls in Bergen and Morris Counties in New Jersey. The total number of the shopping malls in these two counties is 16. Bergen County has 7 shopping malls and Morris County has 9 shopping malls.

    In total, there are 16 malls in the two counties - Bergen and Morris Counties. Bergen County has 7 shopping malls, while Morris County has 9 shopping malls. Bergen County has 43% of the total malls in the two counties. Morris County has 56% of the total malls.

    Having a map that shows the locations of New Jersey malls could lead to a deeper understanding of the area that they are found in. The presence of malls can often indicate higher income areas, especially in cases where there are several malls found in one particular area. As well as this, a mall can bring in a lot of tax revenue to the state which can aid in overall economic growth. While the tax revenue itself can aid in the growth, the presence of malls can also accomplish this indirectly. Oftentimes, having a mall in a town brings more businesses and infrastructure to the area which can increase the area's income, employment, and economic stability.

    Data includes: map with the locations and an Excel Sheet with names, addresses, and coordinate points of the shopping malls.

  12. n

    Ojibwe and Dakota Lands

    • library.ncge.org
    Updated Jul 28, 2021
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    NCGE (2021). Ojibwe and Dakota Lands [Dataset]. https://library.ncge.org/documents/0be819ec7b1a40d592241c58691fe8a6
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    Dataset updated
    Jul 28, 2021
    Dataset authored and provided by
    NCGE
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    Author: A Evans, educator, Minnesota Alliance for Geographic EducationGrade/Audience: grade 6Resource type: lessonSubject topic(s): history, gisRegion: united statesStandards: Minnesota Social Studies Standards

    Standard 1. People use geographic representations and geospatial technologies to acquire, process and report information within a spatial context

    Standard 6. Geographic factors influence the distribution, functions, growth and patterns of cities and other human settlements.

    Standard 18. Economic expansion and the conquest of indigenous and Mexican territory spurred the agricultural and industrial growth of the United States; led to increasing regional, economic and ethnic divisions; and inspired multiple reform movements. (Expansion and Reform: 1792-1861)Objectives: Students will be able to:

    1. Develop skills to manipulate and use ArcGIS software.
    2. Use geospatial technology to locate features.
    3. Analyze map layers to determine the impact of minerals, agriculture, and income on reserved lands.
    4. Locate and label Minnesota’s major bodies of water on a blank map.
    5. Identify and explain the locations of the Ojibwe and the Dakota.
    6. Identify and explain the locations of Minnesota’s reservations.Summary: Students will layer maps using ArcGIS to analyze Minnesota’s landscape and the locations of reservations.
  13. K

    California 2050 Projected Urban Growth

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Oct 13, 2003
    + more versions
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    State of California (2003). California 2050 Projected Urban Growth [Dataset]. https://koordinates.com/layer/671-california-2050-projected-urban-growth/
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    dwg, geopackage / sqlite, geodatabase, kml, pdf, shapefile, mapinfo tab, mapinfo mif, csvAvailable download formats
    Dataset updated
    Oct 13, 2003
    Dataset authored and provided by
    State of California
    License

    https://koordinates.com/license/attribution-3-0/https://koordinates.com/license/attribution-3-0/

    Area covered
    Description

    50 year Projected Urban Growth scenarios. Base year is 2000. Projected year in this dataset is 2050.

    By 2020, most forecasters agree, California will be home to between 43 and 46 million residents-up from 35 million today. Beyond 2020 the size of California's population is less certain. Depending on the composition of the population, and future fertility and migration rates, California's 2050 population could be as little as 50 million or as much as 70 million. One hundred years from now, if present trends continue, California could conceivably have as many as 90 million residents. Where these future residents will live and work is unclear. For most of the 20th Century, two-thirds of Californians have lived south of the Tehachapi Mountains and west of the San Jacinto Mountains-in that part of the state commonly referred to as Southern California. Yet most of coastal Southern California is already highly urbanized, and there is relatively little vacant land available for new development. More recently, slow-growth policies in Northern California and declining developable land supplies in Southern California are squeezing ever more of the state's population growth into the San Joaquin Valley. How future Californians will occupy the landscape is also unclear. Over the last fifty years, the state's population has grown increasingly urban. Today, nearly 95 percent of Californians live in metropolitan areas, mostly at densities less than ten persons per acre. Recent growth patterns have strongly favored locations near freeways, most of which where built in the 1950s and 1960s. With few new freeways on the planning horizon, how will California's future growth organize itself in space? By national standards, California's large urban areas are already reasonably dense, and economic theory suggests that densities should increase further as California's urban regions continue to grow. In practice, densities have been rising in some urban counties, but falling in others.

    These are important issues as California plans its long-term future. Will California have enough land of the appropriate types and in the right locations to accommodate its projected population growth? Will future population growth consume ever-greater amounts of irreplaceable resource lands and habitat? Will jobs continue decentralizing, pushing out the boundaries of metropolitan areas? Will development densities be sufficient to support mass transit, or will future Californians be stuck in perpetual gridlock? Will urban and resort and recreational growth in the Sierra Nevada and Trinity Mountain regions lead to the over-fragmentation of precious natural habitat? How much water will be needed by California's future industries, farms, and residents, and where will that water be stored? Where should future highway, transit, and high-speed rail facilities and rights-of-way be located? Most of all, how much will all this growth cost, both economically, and in terms of changes in California's quality of life? Clearly, the more precise our current understanding of how and where California is likely to grow, the sooner and more inexpensively appropriate lands can be acquired for purposes of conservation, recreation, and future facility siting. Similarly, the more clearly future urbanization patterns can be anticipated, the greater our collective ability to undertake sound city, metropolitan, rural, and bioregional planning.

    Consider two scenarios for the year 2100. In the first, California's population would grow to 80 million persons and would occupy the landscape at an average density of eight persons per acre, the current statewide urban average. Under this scenario, and assuming that 10% percent of California's future population growth would occur through infill-that is, on existing urban land-California's expanding urban population would consume an additional 5.06 million acres of currently undeveloped land. As an alternative, assume the share of infill development were increased to 30%, and that new population were accommodated at a density of about 12 persons per acre-which is the current average density of the City of Los Angeles. Under this second scenario, California's urban population would consume an additional 2.6 million acres of currently undeveloped land. While both scenarios accommodate the same amount of population growth and generate large increments of additional urban development-indeed, some might say even the second scenario allows far too much growth and development-the second scenario is far kinder to California's unique natural landscape.

    This report presents the results of a series of baseline population and urban growth projections for California's 38 urban counties through the year 2100. Presented in map and table form, these projections are based on extrapolations of current population trends and recent urban development trends. The next section, titled Approach, outlines the methodology and data used to develop the various projections. The following section, Baseline Scenario, reviews the projections themselves. A final section, entitled Baseline Impacts, quantitatively assesses the impacts of the baseline projections on wetland, hillside, farmland and habitat loss.

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    OC Development Authority

    • d3-portal-v2-d176b-d3.opendata.arcgis.com
    Updated Oct 16, 2016
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    Oakland County, Michigan (2016). OC Development Authority [Dataset]. https://d3-portal-v2-d176b-d3.opendata.arcgis.com/datasets/e90026448daa4d568daa3ef727d8d758
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    Dataset updated
    Oct 16, 2016
    Dataset authored and provided by
    Oakland County, Michigan
    Area covered
    Description

    BY USING THIS WEBSITE OR THE CONTENT THEREIN, YOU AGREE TO THE TERMS OF USE. The DevelopmentAuthority polygon feature class identifies certain types of entities that encourage development/redevelopment in designated areas. This feature class currently represents Downtown Development Authorities (DDA), Tax Increment Finance Authorities (TIFA), and Local Development Finance Authorities (LDFA); however, it will also depict Corridor Improvement Authorities (CIA) and Brownfield Redevelopment Authorities (BRA) in the future. These five types of authorities have the ability to capture tax increment financing (TIF). The features were digitized using legal descriptions, parcel lists, and maps that were provided to the State of Michigan Office of the Great Seal and/or Oakland County Equalization by the authority. The key attributes are Name (official name of the authority), Type (the type of development authority), and DevelopmentPlan (yes/no indicating if the feature represents an area that is part of a development plan and can caputre tax increment financing).Tax Increment Financing is a tool used to promote redevelopment and community improvement projects by channeling funding toward projects in targeted areas. TIF is captured from the increase of property values from a base year. Millage rates from taxing jurisdictions are applied to the increased value. The resulting tax revenue is directed to the authority, rather than the appropriate jurisdiction. Beginning in 1994, taxing jurisdictions have the option to "opt out" of having its taxes captured by the authority. Also since 1994, school taxes may no longer be captured unless they are necessary to make payments on existing eligible obligations. For more information about TIF, see Michigan Department of Treasury's Tax Increment Financing FAQ web page at http://www.michigan.gov/treasury/0,1607,7-121-3218---F,00.html. The State of Michigan has adopted enabling legislation to allow TIF through five types of authorities. Each type of authority has a focus relating to development/redevelopment: Downtown Development Authority (PA 197 of 1975) Correct and prevent deterioration in business districtsEncourage historic preservationPromote economic growth of the districts Tax Increment Finance Authority (PA 450 of 1980)Prevent urban deteriorationEncourage economic development and activityEncourage neighborhood revitalization and historic preservationClosed to new applicants since 1987Allows the development of virtually any type of land use Local Development Finance Authority (PA 281 of 1986)Encourage local developmentPromote conditions of employmentPromote economic growthLimited to business activities involving:ManufacturingAgricultural processingHigh-technology activitiesEnergy productionBusiness incubators Brownfield Redevelopment Authority (PA 381 of 1996)Promote revitalization, redevelopment, and reuse of certain propertyFocus on tax reverted, blighted, or functionally obsolete propertyMDEQ must approve brownfield redevelopment areas Corridor Improvement Authority (PA 281 of 2005)Correct and prevent deterioration in business districtsEncourage historic preservationPromote economic growth of the districtsMust be adjacent to a road classified as an arterial or collectorThese quasi-public entities are created by resolution through a community's governing body. CIA and LDFA boundaries may cross municipal boundaries. In the case of these multi-jurisdictional authorities, both communities must pass resolutions establishing authority. There is currently only one Joint LDFA (Cities of Southfield and Troy) and there are no CIAs in Oakland County. When the community establishes the authority, it must also define the geographic boundaries in which it will operate. DDAs and CIAs are authorized to levy and collect taxes through a special assessment on all properties within the authority boundary. After the authority and its boundaries are established, the authority creates a tax increment financing and development plan. The plan estimates the amount of tax increment financing that will be captured and lists specific projects on which it will be spent. It also defines the development area where the tax increment financing and projects will occur. The development area must be completely within the authority boundary; however, it may be coincident with the authority boundary. An authority may contain multiple development areas, each with its own development and tax increment financing plan. BRAs normally designate development areas as a one or two parcels for a specific development project, while the other types of authorities define development areas as a larger area. Also, LDFAs are only allowed to capture TIF from parcels in a permitted use, such as manufacturing. There may be both eliglible and inelgible parcels within a development area; however, the inelgible parcels do not participate in TIF capture. The base year used to calculate the amount of tax increment financing is set when the development plan is adopted. If the development plan is expanded at a later date, the base year could be reset for the entire development area or the capture could be calculated using multiple base years. The source for the base year was the tax billing code used by Oakland County Equalization. When no tax billing code was available (for communities that don't use the county's assessing system), the community was contacted to obtain the base year. When two separate authorities overlap, each authority can establish overlapping development areas. The authority that first created the development area has first claim on tax increment financing capture. Authority boundaries are represented using multiple features when the development area is not coincident with the authority boundary. One feature represents the development area and a second feature represents the remainder of the authority district that is not part of the development area. Multiple features are also used to represent authorities that have multiple development areas or development areas that have multiple base years. Brownfield Redevelopment Authorities are unique in that the authority boundaries are generally defined as the entire municipality. For this reason, the non-development areas of BRA's have been excluded from this data. The following list shows communities in Oakland County that have established a BRA: City of Auburn Hills City of Birmingham City of Farmington City of Farmington Hills City of Ferndale City of Hazel Park Charter Township of Highland Village of Holly City of Madison Heights Village of Milford County of Oakland City of Oak Park City of Pontiac City of Rochester City of Rochester Hills Charter Twp of Royal Oak City of Royal Oak City of Southfield City of Troy Charter Township of Waterford Source documents for the boundary of each feature were obtained from the State of Michigan Office of the Great Seal, Oakland County Equalization, and the Oakland County Treasurer's office. These could be in the form of a legal description, parcel list, and/or map. For several boundaries, multiple sources were available and conflicted with each other. When this occurred, hierarchy was given to the legal description, then a parcel list, over the map, and the conflict is noted in the Comments field. However, if a parcel was shown in a parcel list, but not described in the authority based on the legal description, then it was still shown in the authority.It should also be noted that legal descriptions were not digitized using exact coordinate geometry. Instead, features were created by referencing the legal description to snap vertices to parcels, right-of-way, section corners, subdivisions, and lots. Features digitized from a legal description or map included road and railroad rights-of-way as it was described or shown in the document.For vague legal descriptions and parcel lists, right-of-way was addressed uniquely for each authority. Some source documents had statements that all or half of the surrounding right-of-way is to be included in the boundary, but some did not address right-of-way at all. In these cases, right-of-way was addressed distinctly for each authority based on the type of authority and the source documents with the method used recorded in the Comments field. The data will be updated on an "as needed" basis when authorities amend their development plans or new authorities are established. Oakland County Equalization and the Oakland County Treasurer's Office will notify and forward the source documents of necessary revisions to Oakland County Planning and Economic Development Services who is the custodian of the feature class. Communities will be contacted annually to verify that the districts have not changed without the knowledge of county departments. In particular, county departments may not be aware of BRA development projects when no TIF is captured. Lastly, because the tax parcel feature class is revised periodically and it is important for the features to be coincident with the tax parcel feature class, the development authority feature class will also be updated annually to correct conflicts due to parcel shifting.

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    SUBSTANCE ABUSE PREVENTION FUNDING, NEW MEXICO, 2018

    • chi-phi-nmcdc.opendata.arcgis.com
    Updated Jul 6, 2018
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    New Mexico Community Data Collaborative (2018). SUBSTANCE ABUSE PREVENTION FUNDING, NEW MEXICO, 2018 [Dataset]. https://chi-phi-nmcdc.opendata.arcgis.com/maps/3fabd601d81a464c8698dd1c32db0d00
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    Dataset updated
    Jul 6, 2018
    Dataset authored and provided by
    New Mexico Community Data Collaborative
    Area covered
    Description

    CLICK ON THE ABOVE IMAGE TO LAUNCH THE MAP - Healthcare access issues vary greatly between urban and rural areas of New Mexico. Launch the map to explore alternate ways to classify geographies as urban or rural. These classifications are often used for food access as well as healthcare access.BIBLIOGRAPHY WITH LINKS:Rural Definitions for Health Policy, Harvey Licht, a presentation for the University of New Mexico Center for Health Policy: : http://nmcdc.maps.arcgis.com/home/item.html?id=7076f283b8de4bb69bf3153bc42e0402New Mexico Rural-Urban Counties Comparison Tables - October 2017, Harvey Licht, A preliminary compilation for the National Conference of State Legislators Rural Health Plan Taskforce : https://nmcdc.maps.arcgis.com/home/item.html?id=d3ca56e99f8b45c58522b2f9e061999eFrontier and Remote Areas Map - http://nmcdc.maps.arcgis.com/home/webmap/viewer.html?webmap=56b4005256244499a58f863c17bbac8aFURTHER READING:What is Rural? Rural Health Information Hub: https://www.ruralhealthinfo.org/topics/what-is-ruralDefining Rural. Research and Training Center on Disability in Rural Communities: http://rtc.ruralinstitute.umt.edu/resources/defining-rural/What is Rural? USDA: https://www.ers.usda.gov/topics/rural-economy-population/rural-classifications/what-is-rural/National Center for Health Statistics Urban–Rural Classification Scheme: https://www.cdc.gov/nchs/data_access/urban_rural.htm.Health-Related Behaviors by Urban-Rural County Classification — United States, 2013, CDC: https://www.cdc.gov/mmwr/volumes/66/ss/ss6605a1.htm?s_cid=ss6605a1_wExtending Work on Rural Health Disparities, The Journal of Rural Health: http://onlinelibrary.wiley.com/doi/10.1111/jrh.12241/fullMinority Populations Driving Community Growth in the Rural West, Headwaters Economics: https://headwaterseconomics.org/economic-development/trends-performance/minority-populations-driving-county-growth/ Methodology - https://headwaterseconomics.org/wp-content/uploads/Minorities_Methods.pdfThe Role of Medicaid in Rural America, Kaiser Family Foundation: http://www.kff.org/medicaid/issue-brief/the-role-of-medicaid-in-rural-america/The Future of the Frontier: Water, Energy & Climate Change in America’s Most Remote Communities: http://frontierus.org/wp-content/uploads/2017/09/FUTURE-OF-THE-FRONTIER_Final-Version_Spring-2017.pdfRural and Urban Differences in Passenger-Vehicle–Occupant Deaths and Seat Belt Use Among Adults — United States, 2014, CDC: https://www.cdc.gov/mmwr/volumes/66/ss/ss6617a1.htm

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    SDG India Index 2020-21: Goal 8 - DECENT WORK AND ECONOMIC GROWTH

    • up-state-observatory-esriindia1.hub.arcgis.com
    Updated Jun 4, 2021
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    GIS Online (2021). SDG India Index 2020-21: Goal 8 - DECENT WORK AND ECONOMIC GROWTH [Dataset]. https://up-state-observatory-esriindia1.hub.arcgis.com/datasets/sdg-india-index-2020-21-goal-8-decent-work-and-economic-growth
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    Dataset updated
    Jun 4, 2021
    Dataset authored and provided by
    GIS Online
    Area covered
    Description

    Goal 8: Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for allGlobal unemployment increased from 170 million in 2007 to nearly 202 million in 2012, of which about 75 million are young women and men.Nearly 2.2 billion people live below the US$2 poverty line and poverty eradication is only possible through stable and well-paid jobs.470 million jobs are needed globally for new entrants to the labour market between 2016 and 2030.Small and medium-sized enterprises that engage in industrial processing and manufacturing are the most critical for the early stages of industrialization and are typically the largest job creators. They make up over 90% of business worldwide and account for between 50-60% of employment.The unemployment rate in India is estimated to be approximately 5% at All India level (2013-14). India’s labour force is set to grow by more than 8 million per year.This map layer is offered by Esri India, for ArcGIS Online subscribers, If you have any questions or comments, please let us know via content@esri.in.

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ArcGIS Living Atlas Team (2017). Years of Most Predominant GDP Growth [Dataset]. https://hub.arcgis.com/maps/aa1f66346ab24b37a2b544f8a94529d2

Years of Most Predominant GDP Growth

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Dataset updated
Aug 24, 2017
Dataset authored and provided by
ArcGIS Living Atlas Team
Area covered
Description

This map represents the year(s) which had the most growth in GDP per state in the USA. This is shown by representing the predominant rate of growth between any two years from 1997 to 2016. The map is anchored around the 2008 recession, so that years of predominant growth BEFORE 2008 are in shades of green, and years of predominant growth AFTER 2008 are in shades of blue. The darkest greens had peaks in growth farther in the past, and the darkest shade of blue had the most recent peak in growth.Data is from the US Bureau of Economic Analysis and was downloaded from here. The state boundaries are generalized 2010 state boundaries from the Census Bureau's 2010 MAF/TIGER database. Note-- NAICS Industry detail is based on the 2007 North American Industry Classification System (NAICS).

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