Small Area Fair Market Rents (SAFMRs) are FMRs calculated for ZIP Codes. 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 or non-metropolitan counties 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. Please See HUD’s Small Area FMR Final Rule for additional information regarding the uses of Small Area FMRs.

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.

Small Area Fair Market Rent Demonstration Evaluation Datahttps://www.huduser.gov/portal/datasets/SAFMR-demonstration-evaluation-data.html

This layer includes the polygon boundaries Payment Standards based on the 2025 HUD Small Area Fair Market Rent (SAFMR) amounts for all zipcodes in Metro HRA's Housing Choice Voucher program service area. Detailed information and background documentation regarding SAFMRs can be found at https://www.huduser.gov/portal/datasets/fmr/smallarea/

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. Please See HUD’s Small Area FMR Final Rule for additional information regarding the uses of Small Area FMRs.Note that this service does not denote precise SAFMR geographies. Instead, the service utilizes a relationship class to associate the information for each SAFMR with the FMR areas that its ZCTA overlaps. For example, ZCTA 94558 overlaps the Santa Rosa, Napa, and Vallejo-Fairfield MSAs. Selecting that ZCTA will reveal the SAFMR information associated with each FMR area.

  To learn more about the Small Area Fair Market Rents visit: https://www.huduser.gov/portal/datasets/fmr/smallarea/index.html, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Date of Coverage: Fiscal Year 2025Date Update: 01/2025

This dataset consists of the small area fair market rents (FMRs) published annually by the U.S. Department of Housing and Urban Development (HUD). Small areas correspond to zip codes. The FMRs in this dataset are confined to the Atlanta metro area and include FMRs for the most recent year, the previous year and four years ago along with the percent change between those years. Small Area FMRs are required to be used to set Section 8 Housing Choice Voucher payment standards in areas designated by HUD. Additional information can be found at https://www.huduser.gov/portal/datasets/fmr/smallarea/index.html.

This data layer shows U.S. Department of Housing and Urban Development (HUD) annually designated Small Area Difficult Development Areas (SADDAs). SADDAs are areas with high construction, land, and utility costs relative to area median gross income and are based on small fair market rents, income limits, the 2020 census counts, and 5-year American Community Survey data.The unit of geography used to designate SADDAs in metro areas is the Zip Code Tabulation Area (ZCTA), which is made up of census blocks. ZCTAs aggregate data from census blocks based on the most common zip code occurring for addresses within the block. DDAs are designated annually.

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/3

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. 2023 IRS SECTION 42(d)(5)(B) METROPOLITAN DIFFICULT DEVELOPMENT AREAS (OMB Metropolitan Area Definitions, September 14, 2018 [MSA] and derived FY2022 HUD Metro SAFMR Area Definitions [HMFA])

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/3

The global housing rental service platform market is experiencing robust growth, driven by increasing urbanization, the rising popularity of short-term rentals, and the expanding adoption of technology in property management. The market size in 2025 is estimated at $50 billion, demonstrating significant expansion from its historical period. This growth is projected to continue at a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching an estimated market value of $150 billion by 2033. Key drivers include the convenience and efficiency offered by online platforms, enabling property owners to manage their listings and tenants to search and book properties easily. Furthermore, the integration of advanced features such as virtual tours, online payment processing, and sophisticated search filters enhances user experience and drives market expansion. Emerging trends, such as the integration of AI for property pricing and tenant screening, along with the rise of subscription-based rental models, are further fueling market growth. However, regulatory challenges related to data privacy and fair housing practices, as well as competition from traditional real estate agencies, pose some restraints on market growth. The competitive landscape is highly dynamic, with a mix of established players like Zillow, Trulia, and RealPage, and innovative startups such as Rentberry and Spotahome vying for market share. Geographic expansion into emerging markets, particularly in Asia and Latin America, presents significant opportunities for growth. Companies are increasingly focusing on enhancing their platforms’ functionalities by integrating advanced technologies like AI and machine learning to improve tenant screening, property valuation, and risk management. Differentiation strategies, such as offering specialized services catering to specific demographics or property types, are also becoming increasingly crucial for success in this competitive market. The overall outlook remains positive, with substantial growth potential driven by technological advancements and evolving consumer preferences.

Farmer-to-Farmer Rental Market Outlook

According to our latest research, the global farmer-to-farmer rental market size reached USD 3.42 billion in 2024, demonstrating a robust expansion fueled by digital transformation and evolving agricultural practices. The market is projected to grow at a CAGR of 8.1% from 2025 to 2033, reaching an estimated USD 6.45 billion by 2033. This impressive growth trajectory is underpinned by the increasing adoption of online platforms, greater need for flexible land and equipment access, and the rise of collaborative farming models globally.

Several critical growth factors are propelling the farmer-to-farmer rental market. A primary driver is the increasing pressure on agricultural productivity and efficiency, especially among small and medium-sized farms. As land prices soar and capital investment in equipment becomes challenging, farmers are turning to rental models to optimize resource utilization. This trend is particularly pronounced in regions where fragmented landholdings and fluctuating seasonal demand make ownership less viable. The flexibility offered by short-term and seasonal rentals allows farmers to access high-quality machinery, additional land, or specialized resources exactly when needed, thereby reducing idle assets and maximizing returns. Furthermore, heightened awareness of sustainable agriculture and resource sharing is fostering a collaborative culture, further accelerating market adoption.

Digitalization has emerged as a transformative force in the farmer-to-farmer rental market. The proliferation of online platforms and mobile applications is simplifying the process of matching supply with demand, offering transparent pricing, and facilitating secure transactions. These platforms are bridging the information gap between farmers, reducing transaction costs, and ensuring fair market value for both renters and owners. The integration of advanced technologies such as geolocation, digital contracts, and real-time availability tracking is enhancing trust and reliability in the rental ecosystem. As a result, even traditionally conservative agricultural communities are increasingly embracing digital solutions, leading to broader market penetration and deeper engagement across diverse geographies.

Another significant growth factor is the evolving structure of the global agricultural sector. With the growing prevalence of contract farming, cooperative models, and government initiatives supporting shared resource utilization, the farmer-to-farmer rental market is experiencing heightened institutional support. Policy reforms promoting land leasing, subsidies for equipment sharing, and the establishment of rural digital infrastructure are creating an enabling environment for rental transactions. Additionally, the need for climate resilience and risk mitigation is encouraging farmers to diversify their operations, often by renting additional land or equipment for specific crops or livestock cycles. This adaptability is making the rental market an indispensable component of modern agriculture.

Regionally, the market exhibits considerable variation. Asia Pacific leads in terms of volume, driven by densely populated agrarian economies such as India and China, where smallholder farmers dominate. North America and Europe are seeing rapid adoption of digital rental platforms, with a focus on technological integration and sustainability. In Latin America and Middle East & Africa, growth is accelerating due to increasing investments in rural connectivity and government-backed agricultural modernization programs. Each region presents unique challenges and opportunities, shaping the market’s future trajectory through a complex interplay of economic, technological, and policy factors.

Rental Type Analysis

The farmer-to-farmer rental market is segmented by rental type, with short-term rental, long-term rental, and

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

The global rides rental market is experiencing robust growth, driven by increasing demand for amusement and entertainment options at corporate events, private parties, and other celebrations. The market, estimated at $2.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033, reaching an estimated value of $4.2 billion by 2033. This expansion is fueled by several key factors. The rising disposable incomes in developing economies, coupled with a growing preference for unique and memorable event experiences, are significantly boosting market demand. Furthermore, the increasing availability of diverse ride types, including long-term and short-term rental options catering to various needs and budgets, is contributing to market growth. Technological advancements, such as the introduction of innovative ride designs and improved safety features, are also driving market expansion. The market is segmented by application (corporate events, private parties, others) and type (long-term and short-term rentals), offering diverse revenue streams and growth opportunities for rental companies. Key players in the market are constantly innovating to provide high-quality services and attract a wider customer base. The competitive landscape is characterized by both large established players and smaller, specialized rental businesses. However, the market also faces challenges. Economic downturns can negatively impact spending on entertainment and events, thus affecting demand. Stricter safety regulations and insurance requirements can increase operational costs for rental companies. Furthermore, seasonal variations in demand and potential competition from alternative entertainment options can influence market dynamics. Despite these restraints, the overall outlook for the rides rental market remains positive, with sustained growth expected in the coming years, particularly in emerging markets characterized by burgeoning entertainment sectors and rising disposable incomes. Strategic partnerships, investments in technology, and a focus on customer satisfaction will be crucial for companies seeking to thrive in this competitive yet dynamic market.

This data layer shows U.S. Department of Housing and Urban Development (HUD) annually designated Small Area Difficult Development Areas (SADDAs). SADDAs are areas with high construction, land and utility costs relative to area median gross income and are based on Small Fair Market Rents, income limits, the 2010 census counts, and 5-year American Community Survey data.The unit of geography used to designate SADDAs in metro areas is the Zip Code Tabulation Area (ZCTA), which is made up of census blocks. ZCTAs aggregate data from census blocks based on the most common zip code occurring for addresses within the block. DDAs are designated annually.

The online home rental market is experiencing robust growth, driven by increasing urbanization, the rise of the sharing economy, and the convenience offered by digital platforms. The market, encompassing diverse property types like apartments, villas, and hostels, caters to both commercial and personal needs. While precise market size figures for 2025 are not provided, considering a plausible CAGR (let's assume 12% based on industry trends) applied to a hypothetical 2019 market size of $500 billion, the 2025 market size could be estimated around $800 billion. This growth is fueled by several factors, including the increasing preference for short-term rentals among travelers, the expansion of remote work opportunities leading to increased demand for long-term rentals in diverse locations, and the continuous technological advancements improving the user experience on booking platforms. Key players like Airbnb, Booking.com, and Zillow dominate the market, but regional variations exist, with companies like Magicbricks (India) and 5i5j Holding Group (China) catering to specific geographic needs. Despite its rapid expansion, the online home rental market faces challenges. These include regulatory hurdles related to licensing and taxation, concerns about property safety and security, and the ongoing competition among numerous established and emerging players. The market also needs to address issues related to data privacy and security, and ensure fair pricing practices to maintain consumer trust and prevent market instability. Effective strategies for managing seasonal fluctuations in demand, particularly in regions heavily reliant on tourism, are crucial for sustainable growth. Future growth will likely be influenced by factors such as economic conditions, technological innovations (e.g., improved search algorithms, virtual tours), and evolving consumer preferences in the short and long-term rental sectors. Market segmentation, particularly by property type and target customer (business traveler vs. leisure traveler), will become increasingly important for targeted marketing and improved service delivery.

This data layer shows U.S. Department of Housing and Urban Development (HUD) annually designated Small Area Difficult Development Areas (SADDAs). SADDAs are areas with high construction, land and utility costs relative to area median gross income and are based on Small Fair Market Rents, income limits, the 2010 census counts, and 5-year American Community Survey data.The unit of geography used to designate SADDAs in metro areas is the Zip Code Tabulation Area (ZCTA), which is made up of census blocks. ZCTAs aggregate data from census blocks based on the most common zip code occurring for addresses within the block. DDAs are designated annually.

Difficult Development AreasThis U.S. Department of Housing and Urban Development feature layer depicts Difficult Development Areas in the United States. Per HUD, "Difficult Development Areas (DDA) are areas with high land, construction and utility costs relative to the area median income and are based on Fair Market Rents, income limits, the 2010 census counts, and 5-year American Community Survey (ACS) data." All DDA's in Metropolitan Statistical Areas (MSA) and Primary Metropolitan Statistical Areas (PMSA) may not contain more than 20% of the aggregate population of all MSA's/PMSA's, and all designated areas not in metropolitan areas may not contain more than 20% of the aggregate population of the non-metropolitan counties.Baltimore/Columbia/Towson Small Area DDAData currency: Current Federal ServiceData modification: NoneFor more information: Housing and Urban Development; Qualified Census Tracts and Difficult Development AreasFor feedback, please contact: ArcGIScomNationalMaps@esri.comDepartment of Housing and Urban DevelopmentPer HUD, "The Department of Housing and Urban Development administers programs that provide housing and community development assistance. The Department also works to ensure fair and equal housing opportunity for all."

This service contains a list of census tracts that qualify for the American Rescue Plan Act (ARPA) . The list was provided to EGIS by BMS. The data used to produce this service can be found at Qualified Census Tracts and Difficult Development Areas | HUD USER.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 areas with high land, construction and utility costs relative to the area median income and are based on Fair Market Rents, income limits, the 2010 census counts, and 5-year American Community Survey (ACS) data. Maps of Qualified Census Tracts and Difficult Development Areas are available at: 2023 and 2024 Small DDAs and QCTs | HUD USER.Qualified Census Tracts - Generate QCT Tables for Individual Areas (Also Includes DDA Information)This data was created by the Department of Housing and Urban Development in 2023. This data is updated on a yearly basis.