52 datasets found
  1. Small Area Fair Market Rents (SAFMR) Table

    • catalog.data.gov
    Updated Jun 15, 2024
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    U.S. Department of Housing and Urban Development (2024). Small Area Fair Market Rents (SAFMR) Table [Dataset]. https://catalog.data.gov/dataset/small-area-fair-market-rents-safmr-table
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    Dataset updated
    Jun 15, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Description

    This feature service outlines relationships between Zip Code Tabulation Areas (ZCTAs) used to denote Small Area Fair Market Rents (SAFMRs) and the Fair Market Rents (FMRs) calculated for Metropolitan Statistical Areas (MSAs) and County geographies. Small Area Fair Market Rents (SAFMRs) are FMRs calculated for ZIP Codes within Metropolitan Areas. Small Area FMRs are required to be used to set Section 8 Housing Choice Voucher payment standards in areas designated by HUD (available here). Other Housing Agencies operating in non-designated metropolitan areas may opt-in to the use of Small Area FMRs. Furthermore, Small Area FMRs may be used as the basis for setting Exception Payment Standards – PHAs may set exception payment standards up to 110 percent of the Small Area FMR. PHAs administering Public Housing units may use Small Area FMRs as an alternative to metropolitan area-wide FMRs when calculating Flat Rents.

  2. H

    Cable TV Penetration in Designated Market Areas (DMAs) 1983--2010; TVHH and...

    • dataverse.harvard.edu
    Updated Jan 26, 2018
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    Gaurav Sood (2018). Cable TV Penetration in Designated Market Areas (DMAs) 1983--2010; TVHH and CAHH for 1972--1990 [Dataset]. http://doi.org/10.7910/DVN/GJFDNC
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 26, 2018
    Dataset provided by
    Harvard Dataverse
    Authors
    Gaurav Sood
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    1983 - 2010
    Description

    Contains: Data on Cable Penetration in Designated Market Areas from 1983--2010 from the Broadcasting and Cable Yearbook. Includes original scans (photos) of the pages. Data on the number of TV and Cable households for 1972--1990 (even number years only). Note: For a crosswalk between DMAs and other geographic entities (counties, zip codes etc.), see http://dx.doi.org/10.7910/DVN/IVXEHT

  3. m

    Maryland Housing Designated Areas - Difficult Development Areas

    • data.imap.maryland.gov
    • hub.arcgis.com
    • +3more
    Updated May 1, 2017
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    ArcGIS Online for Maryland (2017). Maryland Housing Designated Areas - Difficult Development Areas [Dataset]. https://data.imap.maryland.gov/datasets/aa5eae7064d74c8d94b1a0eb67cad57c
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    Dataset updated
    May 1, 2017
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Area covered
    Description

    Low-Income Housing Tax Credit Qualified Census Tracts must have 50 percent of households with incomes below 60 percent of the Area Median Gross Income (AMGI) or have a poverty rate of 25 percent or more. Difficult Development Areas (DDA) are designated by the U.S. Department of Housing and Urban Development and are based on Fair Market Rents, income limits, the 2010 census counts, and 2006–10 5-year American Community Survey data when they becomes available. Beginning with the 2016 DDA designations, metropolitan DDAs will use Small Area Fair Market Rents (FMRs) rather than metropolitan-area FMRs for designating metropolitan DDAs. Maps of Qualified Census Tracts and Difficult Development Areas are available at: huduser.gov/sadda/sadda_qct.html. This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Feature Service Link:https://mdgeodata.md.gov/imap/rest/services/BusinessEconomy/MD_HousingDesignatedAreas/FeatureServer/4

  4. Jefferson County KY Census Designated Places - 2000

    • catalog.data.gov
    • data.lojic.org
    • +1more
    Updated Apr 13, 2023
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    U.S. Census Bureau (2023). Jefferson County KY Census Designated Places - 2000 [Dataset]. https://catalog.data.gov/dataset/jefferson-county-ky-census-designated-places-2000
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    Dataset updated
    Apr 13, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Jefferson County, Kentucky
    Description

    Polygons of Kentucky metro Census Designated Places from 2000. A Census Designated Places is a statistical entity, defined for each decennial census according to Census Bureau guidelines, comprising a densely settled concentration of population that is not within an incorporated place, but is locally identified by a name. After the City of Louisville and Jefferson County merger in 2003, the Census Bureau stopped mapping these areas but they are still used within our community. View detailed metadata.

  5. d

    MD iMAP: Maryland Census Designated Areas - Census Designated Places 2010

    • catalog.data.gov
    • opendata.maryland.gov
    • +1more
    Updated May 10, 2025
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    opendata.maryland.gov (2025). MD iMAP: Maryland Census Designated Areas - Census Designated Places 2010 [Dataset]. https://catalog.data.gov/dataset/md-imap-maryland-census-designated-areas-census-designated-places-2010
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    Dataset updated
    May 10, 2025
    Dataset provided by
    opendata.maryland.gov
    Area covered
    Maryland
    Description

    This is a MD iMAP hosted service. Find more information at http://imap.maryland.gov. The TIGER/Line Files include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD) - which generally is created to provide services or administer an area without regard - necessarily - to population. Places always nest within a State - but may extend across county and county subdivision boundaries. An incorporated place usually is a city - town - village - or borough - but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name - but are not legally incorporated under the laws of the State in which they are located. The boundaries for CDPs often are defined in partnership with State - local - and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs for the 2010 Census is that they must contain some housing and population. The boundaries of all 2010 Census incorporated places are as of January 1 - 2010 as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all 2010 Census CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP).Feature Service Link:https://mdgeodata.md.gov/imap/rest/services/Demographics/MD_CensusDesignatedAreas/FeatureServer 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.

  6. d

    BOA and Community Brownfield Planning Areas - Designated BOAs

    • catalog.data.gov
    • data.cityofnewyork.us
    Updated Feb 2, 2024
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    data.cityofnewyork.us (2024). BOA and Community Brownfield Planning Areas - Designated BOAs [Dataset]. https://catalog.data.gov/dataset/boa-and-community-brownfield-planning-areas-designated-boas
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    Dataset updated
    Feb 2, 2024
    Dataset provided by
    data.cityofnewyork.us
    Description

    GIS shapefiles showing the areas in NYC where community-based organizations have conducted planning studies or used OER community brownfield pre-development grants.

  7. d

    Designated and Calendared Buildings and Sites

    • catalog.data.gov
    • data.cityofnewyork.us
    • +1more
    Updated May 17, 2025
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    data.cityofnewyork.us (2025). Designated and Calendared Buildings and Sites [Dataset]. https://catalog.data.gov/dataset/designated-and-calendared-buildings-and-sites
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    Dataset updated
    May 17, 2025
    Dataset provided by
    data.cityofnewyork.us
    Description

    Provides information on all items designated or under consideration for designation (i.e. calendared) by the New York City Landmarks Preservation Commission (LPC). This dataset contains information on all items designated or under consideration for designation (i.e. calendared) by the New York City Landmarks Preservation Commission (LPC). The dataset contains records for each individual, scenic, or interior landmark, as well as properties or sites located within the boundaries of historic districts. Please note that points in this dataset represent individual buildings in addition to non-building sites (such as vacant lots or monuments) regulated by LPC. It is possible for a single property to have multiple designations (such as individual and interior designations, or individual and historic district). For this reason, it is not uncommon to see multiple points on a single tax lot and multiple records for a single property within the database. Please pay close attention to the "MOST_CURRENT," "BBL_STATUS and "LAST_ACTION_ON_LP" fields, which together denote the designation status of a site/property (see Attribute Definitions for more information). The geographic locations of the points in this dataset are derived primarily from the Department of City Planning's PLUTO data in combination with the Department of Information Technology & Telecommunication's building footprint information. Because this dataset is not automatically updated when changes occur in the underlying dataset, BIN numbers and tax lot information are potentially out of date. Please pay close attention to the field descriptions present in the file's metadata to understand how to use this data set. Time values are auto-generated and do not reflect the official time of any LPC action, including designation or calendaring.

  8. N

    New Mexico Census Designated Places

    • catalog.newmexicowaterdata.org
    • gstore.unm.edu
    csv, geojson, xml +1
    Updated Nov 1, 2023
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    EDAC (2023). New Mexico Census Designated Places [Dataset]. https://catalog.newmexicowaterdata.org/dataset/nm-cdps
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    geojson(4868287), geojson(4908696), xml(40131), zip, csvAvailable download formats
    Dataset updated
    Nov 1, 2023
    Dataset provided by
    EDAC
    License

    Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
    License information was derived automatically

    Area covered
    New Mexico
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The TIGER/Line shapefiles include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The boundaries of most incorporated places in this shapefile are as of January 1, 2015, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.

  9. A

    Inclusionary Housing Designated Areas

    • data.amerigeoss.org
    • data.cityofnewyork.us
    • +1more
    csv, json, kml, zip
    Updated Jul 28, 2019
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    United States[old] (2019). Inclusionary Housing Designated Areas [Dataset]. https://data.amerigeoss.org/ro/dataset/inclusionary-housing-designated-areas
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    zip, kml, json, csvAvailable download formats
    Dataset updated
    Jul 28, 2019
    Dataset provided by
    United States[old]
    Description

    GIS data: A specified area in which the Inclusionary Housing Program is applicable. The program modifies the floor area ratio (FAR) and offers a bonus for developments that provide affordable housing.

  10. S

    Smoking Shelters Report

    • promarketreports.com
    doc, pdf, ppt
    Updated Apr 23, 2025
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    Pro Market Reports (2025). Smoking Shelters Report [Dataset]. https://www.promarketreports.com/reports/smoking-shelters-108503
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    ppt, pdf, docAvailable download formats
    Dataset updated
    Apr 23, 2025
    Dataset authored and provided by
    Pro Market Reports
    License

    https://www.promarketreports.com/privacy-policyhttps://www.promarketreports.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global smoking shelter market, currently valued at $30 million in 2025, is projected to experience steady growth, with a compound annual growth rate (CAGR) of 3.4% from 2025 to 2033. This growth is driven by increasing public health concerns regarding secondhand smoke, leading to stricter regulations and a greater demand for designated smoking areas in public spaces and commercial buildings. The rising popularity of outdoor smoking areas in restaurants, offices, and other locations further fuels market expansion. Steel frame shelters dominate the market due to their durability and cost-effectiveness, while the commercial application segment holds the largest market share owing to the high concentration of workplaces and businesses requiring designated smoking zones. Emerging trends such as the integration of smart technologies (e.g., air filtration systems, real-time occupancy monitoring) and the increasing adoption of aesthetically pleasing, architecturally integrated designs are shaping the market's future. However, factors like high initial investment costs for advanced shelter models and potential resistance from smokers to using designated areas could restrain market growth. The market segmentation reveals a preference for steel frame structures in both commercial and public applications. While precise market share data for each segment is unavailable, logical deduction suggests that the commercial sector accounts for a larger share due to the greater density of businesses requiring such facilities. Key players in this market include No Butts Bin, Trueform, and others listed, demonstrating a mix of established manufacturers and newer entrants. Geographical distribution likely shows a higher concentration in developed regions like North America and Europe initially, with potential for stronger growth in developing economies as regulations evolve and disposable income increases. The forecast period of 2025-2033 indicates a promising future for the smoking shelter market, particularly considering ongoing regulatory changes and health-conscious initiatives worldwide. Smoking Shelters Market Report: A Comprehensive Analysis This report provides a detailed analysis of the global smoking shelters market, projected to be worth $1.2 billion by 2028. We delve into market dynamics, competitive landscapes, and future growth prospects, focusing on key trends shaping this specialized industry. The report is invaluable for manufacturers, investors, and policymakers seeking a comprehensive understanding of this evolving market segment.

  11. d

    Economic Census Designated Places for Union County, New Mexico, 2006se TIGER...

    • catalog.data.gov
    • gstore.unm.edu
    Updated Dec 2, 2020
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    Earth Data Analysis Center (Point of Contact) (2020). Economic Census Designated Places for Union County, New Mexico, 2006se TIGER [Dataset]. https://catalog.data.gov/dataset/economic-census-designated-places-for-union-county-new-mexico-2006se-tiger
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    Dataset updated
    Dec 2, 2020
    Dataset provided by
    Earth Data Analysis Center (Point of Contact)
    Area covered
    Union County, New Mexico
    Description

    The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on the latest available governmental unit boundaries. The Census TIGER database represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The 2006 Second Edition TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. This shapefile represents the Economic Census Designated Places for Union County stored in the 2006 TIGER Second Edition dataset.

  12. I

    Indoor Smoking Area Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Mar 27, 2025
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    Market Report Analytics (2025). Indoor Smoking Area Report [Dataset]. https://www.marketreportanalytics.com/reports/indoor-smoking-area-36133
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Mar 27, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global indoor smoking area market is experiencing steady growth, driven by increasing demand for designated smoking spaces in public areas and workplaces. The market is segmented by application (conference rooms, gymnasiums, hotels, and others) and type (size of the smoking area). While precise figures are unavailable, a reasonable estimate based on the provided information and typical market trends suggests a 2025 market size of approximately $500 million, with a compound annual growth rate (CAGR) of around 5% from 2025 to 2033. This growth is fueled by factors such as stricter regulations on outdoor smoking in many regions, leading to a greater need for designated indoor spaces, and the ongoing desire for dedicated areas to accommodate smokers without disrupting non-smokers. Key trends include the increasing adoption of innovative ventilation and filtration technologies to minimize the impact of secondhand smoke and the growing focus on creating aesthetically pleasing and comfortable smoking lounges. However, the market faces constraints such as ongoing public health concerns surrounding smoking and increasing social pressure to reduce smoking prevalence. The competitive landscape includes both large multinational companies and smaller, specialized firms, indicating a diverse market structure with opportunities for innovation and consolidation. North America and Europe currently dominate the market, reflecting established regulatory frameworks and consumer habits, but significant growth potential exists in Asia Pacific and other emerging regions as regulations evolve and disposable incomes rise. The segmentation of the market by application (conference rooms, gymnasiums, hotels, etc.) highlights the diverse needs and preferences within the industry. Hotels, for instance, may prioritize aesthetically pleasing and luxurious designs, while gyms might focus on functionality and ventilation efficiency. Similarly, the segmentation by size reflects the varying needs of different venues. The market's future growth will likely depend on adapting to shifting public health policies, technological advancements in smoke filtration and air purification, and evolving consumer preferences for designated smoking areas. Companies are likely to see success by focusing on solutions that address both the practical needs (ventilation, safety) and aesthetic preferences of various establishments.

  13. I

    Indoor Smoking Room Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Apr 18, 2025
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    Archive Market Research (2025). Indoor Smoking Room Report [Dataset]. https://www.archivemarketresearch.com/reports/indoor-smoking-room-511378
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Apr 18, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global indoor smoking room market is experiencing robust growth, driven by increasing awareness of the need to balance smokers' rights with the health and well-being of non-smokers in public spaces. This has led to a rise in demand for designated smoking areas that effectively mitigate second-hand smoke exposure. The market is segmented by room size (5 sq m, 10 sq m, and others) and application (conference rooms, gymnasiums, hotels, and others), with significant variations in demand across these segments. Hotels and conference centers are key adopters, prioritizing the creation of comfortable and compliant smoking environments for guests. Technological advancements in ventilation systems and air filtration technologies are further fueling market expansion, enabling the creation of more effective and efficient smoking rooms. Let's assume, for illustrative purposes, a 2025 market size of $500 million, growing at a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033. This implies a market value exceeding $900 million by 2033, driven by ongoing infrastructural developments and the growing adoption of sophisticated smoking room solutions. The market's growth, however, faces certain restraints. Regulations concerning smoking vary significantly across different regions and countries, creating complexities for manufacturers and businesses. Furthermore, increasing public health campaigns promoting smoking cessation may exert downward pressure on the market's long-term growth trajectory. Nevertheless, the market is expected to remain dynamic, with competition among key players such as AUTOPA, Brasco International Inc., DALO, and others. Regional variations in market share will likely reflect differing regulatory landscapes and cultural attitudes toward smoking. North America and Europe are anticipated to retain significant market shares due to higher disposable incomes and established infrastructure. Emerging economies in Asia-Pacific are also poised for growth, although this might be slower initially due to potentially lower adoption rates. The ongoing evolution of air filtration technology and the development of more sustainable and energy-efficient solutions will be crucial factors shaping the future of the indoor smoking room market.

  14. P

    Public Smoking Room Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 9, 2025
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    Data Insights Market (2025). Public Smoking Room Report [Dataset]. https://www.datainsightsmarket.com/reports/public-smoking-room-1319991
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Jun 9, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global market for public smoking rooms is estimated at $598 million in 2025, exhibiting a Compound Annual Growth Rate (CAGR) of 5.5% from 2025 to 2033. This growth is fueled by several key factors. Increasing awareness of the need for designated smoking areas in public spaces to mitigate second-hand smoke exposure is a primary driver. Furthermore, the growing number of smokers globally, coupled with stricter regulations on smoking in public places, is creating a demand for well-ventilated, controlled environments for smokers. The rise of innovative smoking room technologies, such as air filtration systems and self-cleaning mechanisms, is also contributing to market expansion. However, the market faces constraints such as the increasing global trend toward smoking cessation campaigns and the associated decline in smoking prevalence in some regions. The segments within this market likely include various sizes and types of smoking rooms catering to diverse needs, from small, single-unit structures to larger, multi-unit facilities for businesses and public venues. Competition within the market is evident from the presence of numerous established players, including AUTOPA, Brasco International Inc, DALO, Euromate, ALOES RED, EUROPRODOTTI MARINO BERNASCONI, Glasdon Group Limited, MMCité Street Furniture, Algeco, NORCOR MOB.URBAIN, and Smoke Free Systems, each vying for market share through product innovation and strategic expansion. The forecast period of 2025-2033 will likely see continued growth, though the rate might fluctuate based on evolving public health policies and economic conditions. Technological advancements remain crucial for market growth, with a focus on enhanced air purification, energy efficiency, and aesthetically pleasing designs to integrate seamlessly into various environments. Regional variations are expected, with higher growth likely in regions with larger smoking populations and stricter anti-smoking regulations. Companies operating in this market will need to focus on providing innovative solutions tailored to specific needs while ensuring compliance with evolving regulations and customer preferences. Strategic partnerships and acquisitions could play a significant role in shaping the competitive landscape.

  15. BLM UT Congressionally Designated Recreation Areas (Arc)

    • catalog.data.gov
    Updated Jul 19, 2025
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    Bureau of Land Management (2025). BLM UT Congressionally Designated Recreation Areas (Arc) [Dataset]. https://catalog.data.gov/dataset/blm-ut-congressionally-designated-recreation-areas-arc
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    Dataset updated
    Jul 19, 2025
    Dataset provided by
    Bureau of Land Managementhttp://www.blm.gov/
    Description

    The layers within this feature service represent the spatial extent and boundaries of the San Rafael Swell Recreation Area. As part of the John D. Dingell. Jr. Conservation, Management, and Recreation Act of 2019, Congress designated San Rafael Swell Recreation Area (approximately 217,000 acres). The San Rafael Swell Recreation area features magnificent badlands of brightly colored and wildly eroded sandstone formations, deep canyons, and giant plates of stone tilted upright through massive geologic upheaval. Data within these services are a live copy of BLM Utah's enterprise production environment. Quality control is conducted annually.Complete metadata for these data sets can be found at:BLM UT Congressionally Designated Recreation Areas (Arc)BLM UT Congressionally Designated Recreation Areas (Polygon)

  16. d

    2000 Census Designated Places for Catron County, New Mexico, 2006se TIGER

    • catalog.data.gov
    • gstore.unm.edu
    • +3more
    Updated Dec 2, 2020
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    Earth Data Analysis Center (Point of Contact) (2020). 2000 Census Designated Places for Catron County, New Mexico, 2006se TIGER [Dataset]. https://catalog.data.gov/dataset/2000-census-designated-places-for-catron-county-new-mexico-2006se-tiger
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    Dataset updated
    Dec 2, 2020
    Dataset provided by
    Earth Data Analysis Center (Point of Contact)
    Area covered
    Catron County, New Mexico
    Description

    The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on the latest available governmental unit boundaries. The Census TIGER database represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The 2006 Second Edition TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. This shapefile represents the 2000 Census Designated Places for Catron County stored in the 2006 TIGER Second Edition dataset.

  17. d

    Current Designated Places for Valencia County, New Mexico, 2006se TIGER

    • catalog.data.gov
    • gstore.unm.edu
    • +1more
    Updated Dec 2, 2020
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    Earth Data Analysis Center (Point of Contact) (2020). Current Designated Places for Valencia County, New Mexico, 2006se TIGER [Dataset]. https://catalog.data.gov/dataset/current-designated-places-for-valencia-county-new-mexico-2006se-tiger
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    Dataset updated
    Dec 2, 2020
    Dataset provided by
    Earth Data Analysis Center (Point of Contact)
    Area covered
    Valencia County, New Mexico
    Description

    The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on the latest available governmental unit boundaries. The Census TIGER database represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The 2006 Second Edition TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. This shapefile represents the Current Designated Places for Valencia County stored in the 2006 TIGER Second Edition dataset.

  18. Maryland Housing Designated Areas - Rural Areas

    • data-maryland.opendata.arcgis.com
    • data.imap.maryland.gov
    • +2more
    Updated Feb 27, 2019
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    ArcGIS Online for Maryland (2019). Maryland Housing Designated Areas - Rural Areas [Dataset]. https://data-maryland.opendata.arcgis.com/maps/maryland-housing-designated-areas-rural-areas
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    Dataset updated
    Feb 27, 2019
    Dataset provided by
    Authors
    ArcGIS Online for Maryland
    Area covered
    Description

    The Federal Housing Enterprises Financial Safety and Soundness Act of 1992 establishes a duty for Fannie Mae and Freddie Mac (the Enterprises) to serve the housing needs of very low-, low-, and moderate-income families in rural areas. FHFA has issued a final rule that provides eligibility for Duty to Serve credit for Enterprise mortgage purchases and other activities in “rural areas,” as defined in the rule. Additionally, the final rule specifies supportfor high-needs rural regions as a Regulatory Activity that the Enterprises may consider when developing their plans for the Duty to Serve program. FHFA’s 2017 Rural Areas File designates census tracts in the Metropolitan Statistical Areas (MSAs) and outside of MSAs of the 50 states, the District of Columbia, and Puerto Rico that are considered rural areas or non-rural areas under the final rule. The File also identifies whether census tracts are located in “high-needs” counties in order to determine whether tracts meet the definition of “high-needs rural regions” in the final rule.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Feature Service Link:https://mdgeodata.md.gov/imap/rest/services/BusinessEconomy/MD_HousingDesignatedAreas/FeatureServer/5

  19. Nationally designated areas for public access (tabular data) - May 2024

    • sdi.eea.europa.eu
    doi, eea:folderpath +2
    Updated May 31, 2024
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    European Environment Agency (2024). Nationally designated areas for public access (tabular data) - May 2024 [Dataset]. https://sdi.eea.europa.eu/catalogue/srv/api/records/bdd57fc8-89a1-48a3-8b07-22999cd43170?language=all
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    www:url, www:link-1.0-http--link, eea:folderpath, doiAvailable download formats
    Dataset updated
    May 31, 2024
    Dataset authored and provided by
    European Environment Agencyhttp://www.eea.europa.eu/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Time period covered
    Mar 16, 2023 - May 15, 2024
    Description

    The European inventory of Nationally designated areas holds information about protected designated areas and their designation types, which directly or indirectly create protected areas. The Nationally designated areas' dataset is the official source of protected area information from the 38 European countries*, members of the Eionet, to the World Database of Protected Areas (WDPA).

    This metadata refers to the public version of the Nationally designated areas dataset version 22 (2024). The EEA does not have permission to distribute some or all sites reported by Estonia, Ireland and Türkiye. The internal version of this dataset "Nationally designated areas for internal use - version 22, May. 2024", from which this dataset is derived, contains all designated areas and its access is restricted.

    The dataset contains tabular data: NatDA_2024_v01_public_DesignatedArea.csv, which includes information on the nationally designated sites and designated boundaries for public dissemination; and NatDA_2024_v01_public_DesignationType.csv, which contains information about designation types and the national and international legislative instruments, which directly or indirectly create protected designated areas in Europe.

    This dataset is the accompaniment to two versions of publicly accessible spatial data: https://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/616ef48f-7196-4e30-b201-6c97808fa68a

    * Including Kosovo (UNSCR 1244/99), which designation is without prejudice to positions on status, and is in line with UNSCR 1244 and the ICJ Opinion on the Kosovo Declaration of Independence.

  20. A

    Areas of Critical Environmental Concern (ACEC) Pre-designated

    • data.amerigeoss.org
    • datadiscoverystudio.org
    zip
    Updated Jul 30, 2019
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    United States[old] (2019). Areas of Critical Environmental Concern (ACEC) Pre-designated [Dataset]. https://data.amerigeoss.org/ru/dataset/areas-of-critical-environmental-concern-acec-pre-designated
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    zipAvailable download formats
    Dataset updated
    Jul 30, 2019
    Dataset provided by
    United States[old]
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    This polygon feature class shows the spatial extent and boundaries of Areas of Critical Environmental Concern that have been pre-designated by the BLM. Once a polygon feature leaves the Pre-Designated phase (transitions from a Considered to Designated status), that polygon will be removed from the ACEC Pre-designated feature class and be placed in the ACEC Designated feature class.

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U.S. Department of Housing and Urban Development (2024). Small Area Fair Market Rents (SAFMR) Table [Dataset]. https://catalog.data.gov/dataset/small-area-fair-market-rents-safmr-table
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Small Area Fair Market Rents (SAFMR) Table

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Dataset updated
Jun 15, 2024
Dataset provided by
United States Department of Housing and Urban Developmenthttp://www.hud.gov/
Description

This feature service outlines relationships between Zip Code Tabulation Areas (ZCTAs) used to denote Small Area Fair Market Rents (SAFMRs) and the Fair Market Rents (FMRs) calculated for Metropolitan Statistical Areas (MSAs) and County geographies. Small Area Fair Market Rents (SAFMRs) are FMRs calculated for ZIP Codes within Metropolitan Areas. Small Area FMRs are required to be used to set Section 8 Housing Choice Voucher payment standards in areas designated by HUD (available here). Other Housing Agencies operating in non-designated metropolitan areas may opt-in to the use of Small Area FMRs. Furthermore, Small Area FMRs may be used as the basis for setting Exception Payment Standards – PHAs may set exception payment standards up to 110 percent of the Small Area FMR. PHAs administering Public Housing units may use Small Area FMRs as an alternative to metropolitan area-wide FMRs when calculating Flat Rents.

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