The District of Columbia is the most expensive U.S. state for studio apartments, with monthly rents nearly 300 U.S. dollars higher than in Hawaii. As of February 2021, renters in District of Columbia paid on average 1,625 U.S. dollars monthly for a studio apartment. In comparison, studios in Arkansas were approximately three times more affordable.

Between 2020 and 2021, the average monthly rent in the U.S. saw an overall increase. Nevertheless, this was not the case in some states that experienced dramatic negative rental growth.

One of the main factors driving high rents across European cities is the same as any other consumer-driven business. If demand outweighs supply, prices will inflate. The drive for high paid professionals to be located centrally in prime locations, mixed with the low levels of available space, high land, and construction costs, all keep rental prices increasing. Renting in European cities In 2025, Munich was the most expensive city to rent a furnished studio among the 23 cities surveyed. At ***** euros per month, renting a studio in Munich cost nearly twice the price of a studio in Athens. For one-bedroom apartments or a furnished private room, the most expensive city was Amsterdam. Homeownership in Europe In many European countries owning your home is more commonplace than renting – for instance, in Romania, the homeownership rate is over ** percent. In the UK, affordability of housing is one of the leading housing concerns, with the majority of adults agreeing that first-time buyers getting on a property ladder is a very or somewhat serious problem.

In 2024, New York, NY, was the most expensive rental market for one-bedroom apartments in the United States. The median monthly rental rate of an apartment in New York was ***** U.S. dollars, while in San Francisco, CA which ranked second highest, renters paid on average ***** U.S. dollars.

The average monthly rent for all apartment types in the U.S. soared in 2021 and 2022, followed by a slight decline in the next two years. In April 2025, the monthly rent for a two-bedroom apartment amounting to ***** U.S. dollars. That was an increase from ***** U.S. dollars in January 2021, but a decline from the peak value of ***** U.S. dollars in August 2022. Where are the most expensive apartments in the U.S.? Apartment rents vary widely from state to state. To afford a two-bedroom apartment in California, for example, a renter needed to earn an average hourly wage of nearly ** U.S. dollars, which was approximately double the average wage in North Carolina and three times as much as the average wage in Arkansas. In fact, rental costs were considerably higher than the hourly minimum wage in all U.S. states. How did rents change in different states in the U.S.? In 2024, some of the most expensive states to rent an apartment only saw a moderate increase in rental prices. Nevertheless, rents increased in most states as of April 2025. In West Virginia, the annual rental growth was the highest, at ***** percent.

As of October 2024, Cluj-Napoca had the highest rent for one-room apartments, on average, renting a studio apartment costs 400 euros per month. Arad was the most affordable city to live in on the given list — 220 euros per month, even reaching an average of 180 euros in January and February 2024.

VITAL SIGNS INDICATOR List Rents (EC9)

FULL MEASURE NAME List Rents

LAST UPDATED October 2016

DESCRIPTION List rent refers to the advertised rents for available rental housing and serves as a measure of housing costs for new households moving into a neighborhood, city, county or region.

DATA SOURCE real Answers (1994 – 2015) no link

Zillow Metro Median Listing Price All Homes (2010-2016) http://www.zillow.com/research/data/

CONTACT INFORMATION vitalsigns.info@mtc.ca.gov

METHODOLOGY NOTES (across all datasets for this indicator) List rents data reflects median rent prices advertised for available apartments rather than median rent payments; more information is available in the indicator definition above. Regional and local geographies rely on data collected by real Answers, a research organization and database publisher specializing in the multifamily housing market. real Answers focuses on collecting longitudinal data for individual rental properties through quarterly surveys. For the Bay Area, their database is comprised of properties with 40 to 3,000+ housing units. Median list prices most likely have an upward bias due to the exclusion of smaller properties. The bias may be most extreme in geographies where large rental properties represent a small portion of the overall rental market. A map of the individual properties surveyed is included in the Local Focus section.

Individual properties surveyed provided lower- and upper-bound ranges for the various types of housing available (studio, 1 bedroom, 2 bedroom, etc.). Median lower- and upper-bound prices are determined across all housing types for the regional and county geographies. The median list price represented in Vital Signs is the average of the median lower- and upper-bound prices for the region and counties. Median upper-bound prices are determined across all housing types for the city geographies. The median list price represented in Vital Signs is the median upper-bound price for cities. For simplicity, only the mean list rent is displayed for the individual properties. The metro areas geography rely upon Zillow data, which is the median price for rentals listed through www.zillow.com during the month. Like the real Answers data, Zillow's median list prices most likely have an upward bias since small properties are underrepresented in Zillow's listings. The metro area data for the Bay Area cannot be compared to the regional Bay Area data. Due to afore mentioned data limitations, this data is suitable for analyzing the change in list rents over time but not necessarily comparisons of absolute list rents. Metro area boundaries reflects today’s metro area definitions by county for consistency, rather than historical metro area boundaries.

Due to the limited number of rental properties surveyed, city-level data is unavailable for Atherton, Belvedere, Brisbane, Calistoga, Clayton, Cloverdale, Cotati, Fairfax, Half Moon Bay, Healdsburg, Hillsborough, Los Altos Hills, Monte Sereno, Moranga, Oakley, Orinda, Portola Valley, Rio Vista, Ross, San Anselmo, San Carlos, Saratoga, Sebastopol, Windsor, Woodside, and Yountville.

Inflation-adjusted data are presented to illustrate how rents have grown relative to overall price increases; that said, the use of the Consumer Price Index does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of CPI itself. Percent change in inflation-adjusted median is calculated with respect to the median price from the fourth quarter or December of the base year.

Youth Apartment Market Outlook

The global youth apartment market size was estimated to be $65 billion in 2023 and is forecasted to reach approximately $108 billion by 2032, growing at a compound annual growth rate (CAGR) of around 5.8%. The primary growth factors driving this market include increasing urbanization, a rising trend of young professionals seeking independent living, and the expanding student population across the globe.

One of the main drivers propelling the youth apartment market is the significant shift in lifestyle preferences among young adults. Millennials and Generation Z are increasingly prioritizing flexibility and mobility, which makes renting an attractive option over purchasing property. This demographic values experiences over ownership, leading to a robust demand for rental housing. Additionally, the global rise in higher education enrollment means more students are moving to urban areas, further boosting the need for youth-specific housing solutions.

The surge in remote working opportunities is another pivotal growth factor for this market. As companies continue to adopt flexible working models, many young professionals are moving to cities that offer a better quality of life and cost of living advantages. This migration is fueling the demand for youth apartments, particularly in tech hubs and cultural capitals. Moreover, the preference for co-living spaces, which offer a sense of community and shared amenities, is becoming increasingly popular among young adults, driving the market further.

Technological advancements in property management and rental services are also playing a crucial role in market growth. The advent of mobile applications and online platforms has simplified the process of finding and renting apartments, making it easier for young adults to move between apartments and cities. These platforms often provide virtual tours and comprehensive reviews, helping tenants make informed decisions. The integration of smart home technologies in youth apartments is also becoming a selling point, appealing to the tech-savvy younger generation.

Regionally, the Asia Pacific market is poised for significant growth, driven by rapid urbanization and a burgeoning student population, particularly in countries like China and India. North America and Europe also present substantial opportunities due to their large student populations and the rising trend of young professionals seeking rental accommodations. In contrast, regions like Latin America and the Middle East & Africa show moderate growth potential, but increasing investments in infrastructure and education could change this trajectory in the coming years.

Type Analysis

Studio apartments constitute a significant segment within the youth apartment market. These units are particularly popular among young professionals and students who prioritize affordability and efficient use of space. Studio apartments typically consist of a single room that serves as the living, dining, and sleeping area, along with a separate bathroom. The cost-effectiveness and minimalistic lifestyle associated with studio apartments appeal to the younger demographic, who often prioritize location and accessibility over space. In urban settings where real estate prices are high, studio apartments offer a practical solution for independent living without the burden of high rent.

One-bedroom apartments are another crucial segment in this market, offering slightly more space and privacy compared to studio apartments. These units usually feature a separate bedroom, living area, kitchen, and bathroom. The additional space makes one-bedroom apartments an attractive option for young couples or single professionals who prefer a bit more room. The demand for one-bedroom apartments is particularly high in metropolitan areas where young professionals seek a balance between cost and comfort. This segment is also growing due to the increasing trend of remote work, as individuals seek dedicated spaces for both living and working.

Shared apartments or co-living spaces are gaining significant traction among the youth segment. These setups involve multiple tenants sharing a larger apartment or house, often with private bedrooms and communal living areas, kitchens, and bathrooms. Shared apartments offer a blend of affordability and community living, making them popular among students and young professionals new to a city. The social aspect of co-living, combined with the cost benefits of shared rent and utilities, drives this market segment. Operators of co-living spaces often include ad

The average monthly rent of apartments in California increased substantially 2021, followed by a period of stabilization. In May 2024, the average rent of a two-bedroom apartment cost over 2,200 U.S. dollars, up from 1,849 U.S. dollars in December 2020 before rents started to rise. Nevertheless, not all cities saw rents rise at the same pace.

Rents for unfurnished housing in the Netherlands reached an all-time high in 2023. In the third quarter of the year, the average square meter rent for residential properties reached 17.77 euros, up from 16.9 euros during the same period in 2022. Note that the numbers shown in this statistic are not from a governmental institution, but concern rental housing being offered on the website of the source in the specific quarters. This implies the numbers only show rents of property on the free market and exclude social housing. No difference was made between the type of rental housing, such as houses, apartments, rooms or studios. Big cities well above the average rent price Cities in the Randstad area (the areas surrounding Amsterdam, The Hague, Utrecht and Rotterdam) have a big influence on the average rental price in the Netherlands. This is especially true for Amsterdam, as the Dutch capital registered an average rent price of roughly 26 euros per square meter in 2023. The Hague and Rotterdam, on the other hand, had rental rates below the national average. Are these rents expensive or not? A historical development of rent price indices suggests that rents in the Netherlands are at their highest level since 1990. This graph, however, does not mention whether it has a correction for inflation or not. It is unclear whether any institution researched the development of “real” rent prices in the Netherlands. Statista can offer two components for a potential comparison: the annual housing rent percentage increase since 1990 as well as the inflation rate of the Netherland since 2008.

Virginia (VA) has the 19th highest rent in the country out of 56 states and territories. The Fair Market Rent in Virginia ranges from $701 for a 2-bedroom apartment in Grayson County, VA to $1,765 for a 2-bedroom unit in Washington-Arlington-Alexandria, DC-VA-MD HUD Metro FMR Area.

For FY 2024, the Washington-Arlington-Alexandria, DC-VA-MD HUD Metro FMR Area (Arlington County) rent for a studio or efficiency is $1,772 per month and $3,015 per month to rent a house or an apartment with 4 bedrooms. The average Fair Market Rent for a 2-bedroom home in Virginia is $1,056 per month.

Approximately 15% of Americans qualify for some level of housing assistance. The population in Virginia is around 2,038,847 people. So, there are around 305,827 people in Virginia who could be receiving housing benefits from the HUD. For FY 2025, the Washington-Arlington-Alexandria, DC-VA-MD HUD Metro FMR Area (Arlington County) rent for a studio or efficiency is $2,012 per month and $3,413 per month to rent a house or an apartment with 4 bedrooms. The average Fair Market Rent for a 2-bedroom home in Virginia is $1,059 per month.

RealFacts Report, Market Overview, 2Q2014, 8/25/2014. Includes average asking rent and average occupancy.Average asking rent is average for all (studio, 1 bedroom/1 bathroom, 2 bedroom/1 bathroom, etc.).

Amsterdam is set to maintain its position as Europe's most expensive city for apartment rentals in 2025, with median costs reaching 2,500 euros per month for a furnished one-bedroom unit. This figure is double the rent in Prague and significantly higher than other major European capitals like Paris, Berlin, and Madrid. The stark difference in rental costs across European cities reflects broader economic trends, housing policies, and the complex interplay between supply and demand in urban centers. Factors driving rental costs across Europe The disparity in rental prices across European cities can be attributed to various factors. In countries like Switzerland, Germany, and Austria, a higher proportion of the population lives in rental housing. This trend contributes to increased demand and potentially higher living costs in these nations. Conversely, many Eastern and Southern European countries have homeownership rates exceeding 90 percent, which may help keep rental prices lower in those regions. Housing affordability and market dynamics The relationship between housing prices and rental rates varies significantly across Europe. As of 2024, countries like Turkey, Iceland, Portugal, and Hungary had the highest house price to rent ratio indices. This indicates a widening gap between property values and rental costs since 2015. The affordability of homeownership versus renting differs greatly among European nations, with some countries experiencing rapid increases in property values that outpace rental growth. These market dynamics influence rental costs and contribute to the diverse rental landscape observed across European cities.

Clackamas, Multnomah, and Washington counties as well as Metro-area median studio, 1 bedroom, and 2 bedroom rental prices for 2011 - 2019.Data sourced from https://www.zillow.com/research/data/

In 2023, the most expensive residential rental market in Europe was London (inner) with rental costs of approximately 33.8 euros per square meter. Dublin and Paris followed with rental costs of 31.5 and 31.3 euros per square meter. Rents increased across most markets - a trend that could also be observed in the housing market. How much does an apartment cost in different European cities? Renting a furnished studio apartment in some of the leading cities in Europe can cost anywhere between 500 euros monthly (Budapest) and 2,000 euros (Amsterdam) per month. For afurnished one-bedroom apartment in Paris, France, one may be expected to pay on average 1,900 euros monthly. Which countries have the most affordable housing? The house price to rent ratio is an indicator of the affordability of owning housing over renting across European countries and is calculated as the nominal house prices divided by a rent price index. The higher the ratio, the more the gap between house prices and rental rates has widened since 2015 when the index base was 100. As of the fourth quarter of 2021, Finland, Italy, and Belgium had the lowest house price to rent ratio, meaning that buying a house was most affordable there compared to renting.

The U.S. Department of Energy's (DOE) Building America team, Consortium for Residential Buildings (CARB), is working with the EcoVillage cohousing community in Ithaca, New York, on the Third Residential EcoVillage Experience neighborhood. This community-scale project consists of 40 housing units-15 apartments and 25 single-family residences. Units range in size from 450 ft2 to 1,664 ft2 and cost from $80,000 for a studio apartment to $235,000 for a three- or four-bedroom single-family home. The community is pursuing certifications for DOE Zero Energy Ready Home, U.S. Green Building Council Leadership in Energy and Environmental Design Gold, and ENERGY STAR for the entire project. Additionally, seven of the 25 homes, along with the four-story apartment building and community center, are being constructed to the Passive House (PH) design standard.

The monthly median asking rent for unfurnished apartments in the United States rose by about ** U.S. dollars in 2024. In the third quarter of 2024, the median rent amounted to ***** U.S. dollars, up from ***** U.S. dollars in 2023. This increase was in line with a decade of steady growth, interrupted only in 2020 during the COVID-19 pandemic and in 2023. The U.S. rental market As rental apartment vacancy rates fall, rents are on the rise. This makes it more difficult for Americans to, first, find an apartment to rent, and second, find an apartment which they can afford. Nevertheless, renting has become much more common in recent years, with the number of renter households having substantially increased in the past two decades. In 2024, there were approximately **** million renter households in the U.S. Rents in different states Of course, rents vary from state to state. The most expensive rents are found in Hawaii, California, District of Colombia, New Jersey, and Florida. Following the COVID-19 pandemic, growth was the strongest in the Sun Belt states, and especially in states with lower costs of living, such as Texas. In Austin, TX, the average rent soared by nearly ** percent in 2021, and remained elevated, despite a slight decline in 2023.

As the renewable energy transition accelerates, housing, due to its high energy demand, can play a critical role in the clean energy shift. Specifically, multifamily housing provides a unique opportunity for solar photovoltaic (PV) system adoption, given the existing competing interests between landlords and tenants which has historically slowed this transition. To address this transition gap, this project identified and ranked Metropolitan Statistical Areas (MSAs) in the United States for ZNE Capital (the client) to acquire multifamily housing to install solar PV systems. The group identified seven criteria to determine favorable markets for rooftop solar PV on multifamily housing: landlord policy favorability, real estate market potential, CO2 abatement potential, electricity generation potential, solar installation internal rate of return, climate risk avoidance, and health costs associated with primary air pollutants. A total investment favorability score is calculated based on criteria importance assigned by the user. Investment favorability scores were investigated for different preferences to demonstrate the robustness and generalizability of the framework. The data analysis and criteria calculations were conducted using RStudio, ultimately to provide reproducible code to be used for future projects. The results are presented in a ranked list from best to worst metro areas to invest in. Future studies can utilize the reproducible code to inform decisions on where to invest in solar PV on multifamily housing anywhere in the United States by changing weights within the model depending on preferences. Methods

Collecting real estate and landlord data for metropolitan statistical areas (MSAs) from federal agency databases.

Real estate metrics: Six indicator metrics were selected to represent areas with growing housing demands. The metrics included were population growth, employment growth, average annual occupancy, annual rent change, the ratios of median annual rent to median income, and median income to median home price. The population estimates and median income data was downloaded from the Census Bureau. Median rent data was downloaded from HUDuser. Median home price data was downloaded from National Association of REALTORS®. Students were provided temporary memberships to Yardi Systems Matrix to obtain multifamily occupancy rates, and this data will not be redistributed. All the real estate metrics were combined into a single dataset using CBSA codes, which each MSA has a unique 5-digit identifier. Income-to-home price and rent-to-income ratios were calculated in R Studio.

Landlord data: the minimum security deposit and eviction notice data was collected for each state and manually compiled into an Excel. Security deposit information was provided as the number of months of rent. States with no maximum deposit limit received a score of 1.0, meaning it was the most favorable. Two month's rent was scored as 0.5, and one month's rent was given a score of 0.

Using NREL's REopt web tool to 1) model solar PV system on multifamily buildings in various cities and 2) obtain data to represent energy generation, CO2 abatement potential, avoided health costs from emissions, and solar project financial criteria.

An anchor city was identified within each MSA as the city with the highest population to input into the REopt tool. Default inputs were changed based on information provided by industry experts and changes in federal funding programs. Detailed instructions of inputs were created to ensure consistency when running the model for each city. The four outputs collected from the tool include: annual energy generation from renewables (%), lifecycle total CO2 emissions, health costs associated with primary air pollutants, and internal rate of return(%). The group divided up a list of cities, input the respective data for each one, obtained the outputs, then compiled it into a Google sheet. Outputs were checked by other members to ensure accuracy.

Collecting climate risk data from FEMA's National Risk Index Map.

Climate risk data was downloaded as a CSV file. The risk score was used to represent impacts of climate variability on long-term real estate investments. Risk scores were provided at the county level. The group identified the county each city resided in, to associate the correct score to each city in R Studio

Normalizing the data

Metrics were normalized by subtracting the minimum value for the metric from each value and dividing by the difference between the maximum and minimum values. This resulted in scores between 0 and 1 that were relative to the MSAs included in the analysis.

Weighing the data

Real Estate and Landlord Criteria metrics: these two criteria contained more than one metric, so the metrics within these criteria were weighted to produce real estate and landlord scores. Weights for each criterion sum to 1, in which higher weights indicate greater importance for multifamily real estate investments. Each weight was multiplied by the respective metric, then all weighted metrics within each criterion were summed to produce the criteria score. Investment Favorability Score: seven criteria were multiplied by respective weights based on the stakeholder's preferences. Weights sum to 1 to ensure consistency throughout the project. The sum of the seven weighted criteria is the investment favorability score.

A Home for Everyone is the City of Boise’s (city) initiative to address needs in the community by supporting the development and preservation of housing affordable to residents on Boise budgets. A Home for Everyone has three core goals: produce new homes affordable at 60% of area median income, create permanent supportive housing for households experiencing homelessness, and preserve home affordable at 80% of area median income. This dataset includes information about all homes that count toward the city’s Home for Everyone goals.

While the “produce affordable housing” and “create permanent supportive housing” goals are focused on supporting the development of new housing, the preservation goal is focused on maintaining existing housing affordable. As a result, many of the data fields related to new development are not relevant to preservation projects. For example, zoning incentives are only applicable to new construction projects.

Data may be unavailable for some projects and details are subject to change until construction is complete. Addresses are excluded for projects with fewer than five homes for privacy reasons.

The dataset includes details on the number of “homes”. We use the word "home" to refer to any single unit of housing regardless of size, type, or whether it is rented or owned. For example, a building with 40 apartments counts as 40 homes, and a single detached house counts as one home.

The dataset includes details about the phase of each project when a project involves constructing new housing. The process for building a new development is as follows: First, one must receive approval from the city’s Planning Division, which is also known as being “entitled.” Next, one must apply for and receive a permit from the city’s Building Division before beginning construction. Finally, once construction is complete and all city inspections have been passed, the building can be occupied.

To contribute to a city goal, homes must meet affordability requirements based on a standard called area median income. The city considers housing affordable if is targeted to households earning at or below 80% of the area median income. For a three-person household in Boise, that equates to an annual income of $60,650 and monthly housing cost of $1,516. Deeply affordable housing sets the income limit at 60% of area median income, or even 30% of area median income. See Boise Income Guidelines for more details.Project Name – The name of each project. If a row is related to the Home Improvement Loan program, that row aggregates data for all homes that received a loan in that quarter or year. Primary Address – The primary address for the development. Some developments encompass multiple addresses.Project Address(es) – Includes all addresses that are included as part of the development project.Parcel Number(s) – The identification code for all parcels of land included in the development.Acreage – The number of acres for the parcel(s) included in the project.Planning Permit Number – The identification code for all permits the development has received from the Planning Division for the City of Boise. The number and types of permits required vary based on the location and type of development.Date Entitled – The date a development was approved by the City’s Planning Division.Building Permit Number – The identification code for all permits the development has received from the city’s Building Division.Date Building Permit Issued – Building permits are required to begin construction on a development.Date Final Certificate of Occupancy Issued – A certificate of occupancy is the final approval by the city for a development, once construction is complete. Not all developments require a certificate of occupancy.Studio – The number of homes in the development that are classified as a studio. A studio is typically defined as a home in which there is no separate bedroom. A single room serves as both a bedroom and a living room.1-Bedroom – The number of homes in a development that have exactly one bedroom.2-Bedroom – The number of homes in a development that have exactly two bedrooms.3-Bedroom – The number of homes in a development that have exactly three bedrooms.4+ Bedroom – The number of homes in a development that have four or more bedrooms.# of Total Project Units – The total number of homes in the development.# of units toward goals – The number of homes in a development that contribute to either the city’s goal to produce housing affordable at or under 60% of area median income, or the city’s goal to create permanent supportive housing for households experiencing homelessness. Rent at or under 60% AMI - The number of homes in a development that are required to be rented at or below 60% of area median income. See the description of the dataset above for an explanation of area median income or see Boise Income Guidelines for more details. Boise defines a home as “affordable” if it is rented or sold at or below 80% of area median income.Rent 61-80% AMI – The number of homes in a development that are required to be rented at between 61% and 80% of area median income. See the description of the dataset above for an explanation of area median income or see Boise Income Guidelines for more details. Boise defines a home as “affordable” if it is rented or sold at or below 80% of area median income.Rent 81-120% AMI - The number of homes in a development that are required to be rented at between 81% and 120% of area median income. See the description of the dataset above for an explanation of area median income or see Boise Income Guidelines for more details.Own at or under 60% AMI - The number of homes in a development that are required to be sold at or below 60% of area median income. See the description of the dataset above for an explanation of area median income or see Boise Income Guidelines for more details. Boise defines a home as “affordable” if it is rented or sold at or below 80% of area median income.

In June 2019, apartment rental prices peaked in Budapest at nearly four thousand forints per square meter and subsequently decreased to 3.2 thousand by June 2021. However, the average rental price of apartments in the whole country maintained rather similar values over the considered time period.

This StoryMap describes the neighborhoods in Nashville and provides information on nearby apartments, restaurants, and points of interest.Nashville is one of the country's fastest growing cities. From music to healthcare, Nashville has seen an abundance of development in recent years. In 2023, 86 residents per day were moving to Nashville, and 18.6 million tourists visited the city [1].The first interactive feature will walk you through 11 neighborhoods found in Nashville. It was created using the “map tour” feature and walks you around a map of Nashville (created by me) while displaying the location and information. The information describes the ambience of each neighborhood as well as what they are known for and who typically lives in the area. All the information was provided by Nashville Guru [2]. Next, the story continues with rent for these locations. The values reflect the costs for studio/one-bedroom apartments. These costs were calculated using the Summary Statistics feature in ArcGIS Pro, which were then plotted in the chart seen in this StoryMap. After displaying the average values, there is a map of the individual apartments’ locations (created by me) with pop-ups showing the building name, starting rent, pool, and website link. This map and its pop-ups were created by me in ArcGIS Pro and then uploaded as a web map into ArcGIS Online. It utilizes an Experience Builder to allow you to filter through and focus on the apartments in each neighborhood. All of the information is available on apartments.com [3]. The next map dictates some restaurants in the area. The original feature layer was created by NNRobbins11 [4]. A spatial query was performed in ArcGIS pro by joining this restaurants layer to neighborhoods within a 1-mile distance. Like the apartments map, a filter is attached so that you may select a neighborhood. This allows you to select a neighborhood and then view the closest restaurants. There is also a pull-up arrow located at the bottom of this experience to allow users to view the pop-ups in table form.Finally, a sidecar is used to show the locations and information about local attractions. The map was created by me in ArcGIS Pro and shows 10 features with a name, description, and image. The description and image are shown in the left sidecar. All of this information is available in Nashville Guru [5]. The final video provides a live look of Nashville from a drone’s perspective [6]. Sources:[1] https://www.govloop.com/community/blog/the-enterprise-tech-driving-nashvilles-historic-growth/[2] https://nashvilleguru.com/neighborhoods[3] https://www.apartments.com/nashville-tn/?msockid=2dcf432ac6f36e722d9956e7c76a6fa7[4] https://services3.arcgis.com/58WV6GqBWodG9Kll/arcgis/rest/services/Nashville_Eateries/FeatureServer[5] https://nashvilleguru.com/[6] https://www.bing.com/videos/riverview/relatedvideo?&q=nashville+birds+eye+video&&mid=2489D5A39FFFCAE7A92B2489D5A39FFFCAE7A92B&&FORM=VRDGAR