Real Estate Appraisal Process Explained

Apartment operators are nervous. You can see it in the latest rent data. After six straight months of increased rent momentum nationally, year-over-year rent growth has backtracked a bit in each of the past two months -- coinciding with prime leasing season. Nationally, YoY effective rent growth eased from 1.05% in March to 0.74% in May. The modest backtracking comes DESPITE strong absorption, steady occupancy rates, and improved affordability (declining rent-to-income ratios). We talk a lot about weak consumer sentiment. But it's not just consumers. Sentiment is a powerful variable -- even if one hard to measure -- among operators setting rents. When operators are nervous, they'll likely sacrifice on rents (or ramp up concessions) to protect occupancy. It's happening most clearly in the high-supplied markets across the Sun Belt and Mountain regions, BUT we're also seeing stalled momentum in the lower-supplied Midwest and Coastal markets. So while it was the 40+ year high in supply that pushed rents down in the last two years (even amidst strong demand), it's not just about supply anymore. Washington, D.C., is a prime example of this trend. There's been a lot of nervousness about the D.C. market due to DOGE cuts and federal layoffs. And yet apartment occupancy rates have held strong, improving 50 bps since January and now topping 96%. Rent-to-income ratios among new lease signers (in professionally managed, market-rate apartments) have fallen to 23.1%, according to RealPage data. The REITs with D.C. exposure have all reported solid demand and healthy collections there, too. And yet: Rent growth in D.C. is backtracking more than most of the country. Year-over-year effective rent growth eased from 3.45% in March to 2.35% in May. In most lower-supplied Coastal and Midwest markets, we're seeing operators just hold steady on rents rather than continue the steady upward push we saw previously. And remember: This is the time of year we typically see rents accelerate. In the higher-supplied Mountain and Sun Belt markets, reduced effective rent momentum is primarily driven by increased concessions. Among stabilized apartments (non lease-ups) here utilizing concessions, the average discount increased from 8.9% of asking rent in March to 10.1% in May. That's more than one month "free" on a 12-month lease. Markets with the most deceleration in effective rent change over the past two months include a mix of lower-supply and higher-supply markets: Las Vegas, Riverside, Baltimore, Austin, Memphis, Milwaukee, Kansas City, Washington DC, Denver and Orlando. Markets immune to the trend (with continued momentum) include San Francisco, where sentiment was previously so low it could only go up. There's no other reasonable explanation for slowing rent momentum than nervous operators worried about weak consumer confidence and the parade of headlines warning of a potential recession. Where do rents go from here? Thoughts? #apartments #rents

Aggregated data is dangerous. It makes the economy look stable while masking how opportunity is being rationed unevenly underneath. Look at the latest jobs data, on the surface, the unemployment rate for both Black men and Black women improved. But the mechanisms driving those numbers were entirely different. Based on my analysis of BLS data: 📉 Black men’s unemployment fell because they gained 125,000 jobs. A clean improvement story. 📉 Black women’s unemployment fell while their employment declined by 212,000 and their labor-force exits increased by over 450,000. A single aggregate number cannot capture intersectional realities. Black women sit at the intersection of multiple labor-market pressures including structural inequities in hiring and advancement. When they begin disappearing from the labor force, they act as an economic bellwether. We cannot fix what we do not accurately measure. We must look beyond headline rates and examine employment, unemployment, and labor-force participation together. More on why intersectional data matters in my latest Fortune column. #Intersectionality #GenderEquity #LaborMarket #Leadership #Economics Meg Crumbine Michelle Grocholsky Leslie Forde Santana Inniss, MS MCPC T. Tara Turk-Haynes Tamara Brown, J.D.

❗𝟵𝟱% 𝗼𝗳 𝘄𝗶𝗻𝗱 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁𝘀 𝗳𝗮𝗶𝗹* 𝗮𝗻𝗱 𝗜 𝗰𝗮𝗻 𝘁𝗲𝗹𝗹 𝘆𝗼𝘂 𝗶𝗻 𝗼𝗻𝗲 𝘄𝗼𝗿𝗱 𝘄𝗵𝗮𝘁 𝘄𝗶𝗹𝗹 𝗰𝗮𝘂𝘀𝗲 𝘆𝗼𝘂𝗿 𝗻𝗲𝘅𝘁 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝘁𝗼 𝗳𝗮𝗶𝗹❗   "𝗨𝗻𝗸𝗻𝗼𝘄𝗻𝘀"   Overly simplistic? Perhaps. So let me double the complexity of my answer.   "𝗨𝗻𝗸𝗻𝗼𝘄𝗻 𝘂𝗻𝗸𝗻𝗼𝘄𝗻𝘀"   Unknown unknowns are things where we have neither knowledge of the occurrence, nor knowledge of the impact.   🦜Will a bird survey reveal a rare species of parakeet? If it does, what area will become unbuildable? 🧑🌾Will the farmer on the western boundary be supportive? If not, how much will it reduce the development envelope? 🍃Will atmospheric turbulence limit turbine choice? If it does, which classes will be unsuitable? 🪖Will the military restrict tip height? If it does, what will be the restriction? 🔋Will national energy policy shift? If it does, where will it shift to?   At Wind Pioneers we've worked on hundreds of potential sites across 50+ markets. Our clients are some of the best developers in the world and what we've learnt is that successful developers don't focus on known qualities of a site. 𝗦𝘂𝗰𝗰𝗲𝘀𝘀𝗳𝘂𝗹 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 𝗳𝗼𝗰𝘂𝘀 𝗼𝗻 𝘄𝗵𝗮𝘁 𝘄𝗶𝗹𝗹 𝗸𝗶𝗹𝗹 𝘁𝗵𝗲𝗶𝗿 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁.   Here are our top tips for dealing with Unknown Unknowns: 𝟭) 𝗠𝗮𝗸𝗲 𝗮 𝗹𝗶𝘀𝘁 𝗼𝗳 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴 𝘁𝗵𝗮𝘁 𝗺𝗶𝗴𝗵𝘁 𝗸𝗶𝗹𝗹 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁. Rank them by likelihood and severity. Be your site's own worst critic. 𝟮) Have a workflow that enables you to easily 𝗿𝘂𝗻 𝗱𝗼𝘇𝗲𝗻𝘀 𝗮𝗻𝗱 𝗱𝗼𝘇𝗲𝗻𝘀 𝗼𝗳 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝘀𝗰𝗲𝗻𝗮𝗿𝗶𝗼𝘀. 𝟯) 𝗥𝘂𝗻 𝗱𝗼𝘇𝗲𝗻𝘀 𝗼𝗳 𝗪𝗵𝗮𝘁 𝗜𝗳 𝗦𝗰𝗲𝗻𝗮𝗿𝗶𝗼𝘀. For all severe or likely risks, perform a desktop what if scenario. Hunt for scenarios that make the project unviable, and then spend your time understanding and mitigating those risks. 𝟰) 𝗛𝗮𝘃𝗲 𝗕𝘂𝗳𝗳𝗲𝗿𝘀. Have 30-50% buffer on capacity at an early stage. If you want to build a 200MW project, have space for 300MW. When unknowns become known, they will eat away at your capacity. 𝟱) 𝗛𝗮𝘃𝗲 𝗖𝗼𝗻𝘁𝗶𝗻𝗴𝗲𝗻𝗰𝗶𝗲𝘀. Allow 10-20% erosion in NetCF as unknowns become known and constrain the project. 6) 𝗕𝗲𝘄𝗮𝗿𝗲 𝗼𝗳 𝗢𝗽𝘁𝗶𝗺𝗶𝘀𝗮𝘁𝗶𝗼𝗻. "Optimisation" is an exercise in "optimism" until you have complete knowledge of all constraints on a site. Be pragmatic and realistic, not blindly optimistic. 𝟳) 𝗚𝗮𝗺𝗯𝗹𝗲 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗹𝘆. Wind farm development is hard. Really hard. Understand that every site is a bet with long odds. Plan your portfolio to be hedged and spread your risks over multiple projects with diverse risk factors.   Come talk to us if you'd like a sympathetic ear to the challenges of wind farm development.   *95% is a guestimate that depends on definitions. The exact number is not important - what's important is that most sites will never become wind farms so we need to consider risks not just opportunities…

Pre-Acquisition Site Analysis for Successful Real Estate Development Introduction Acquiring a site marks an essential milestone in any real estate project. The depth of the acquisition site analysis dramatically influences the success of this crucial step. This comprehensive evaluation considers the various factors impacting the project's feasibility, cost, and timeline. It provides a robust foundation for making informed decisions, proficiently managing risks, and strategizing effectively. This article will thoroughly examine the intricacies of acquisition site analysis and demonstrate how Roayas' approach ensures favourable project outcomes. Critical Aspects of Site Analysis Examination of Soil Understanding soil composition bearing capacity and potential contaminants through soil testing is vital. Detailed soil tests provide insights into soil characteristics that guide developers in designing foundations. Marine Studies for Coastal Properties Conducting studies is critical for coastal sites to assess how tides, waves, and erosion impact the property. This evaluation helps build resilience against these elements by considering measures like seawalls or revetments. Collaborating with consultants ensures recommendations for coastal development practices to secure the property's future with minimal cost implications. Assessment of Traffic Impact Analyzing traffic impact is essential to grasp both future traffic patterns at the site. Developers can incorporate these discoveries into the design and planning stages by assessing how the development will affect traffic patterns, congestion, and road safety. This approach helps reduce impacts and improve access and circulation. Availability of Utilities Evaluating the availability and proximity of utilities such as water, electricity, and sewage systems is crucial. Considering distance and necessary infrastructure upgrades, estimating the expenses of connecting the site to the utility points is vital. Compliance with Zoning Laws and Regulations Reviewing local zoning laws and regulations ensures the proposed development complies with all legal requirements. This process includes identifying any restrictions or special permits needed for construction. Market Research Conducting a thorough market analysis helps to understand demand-supply dynamics in the area. Evaluating target demographics, competitor projects, and market trends is critical for refining development strategies. Sites Physical Attributes Analyzing physical characteristics like topography, size, and site shape is crucial for evaluating construction feasibility. Conclusion A detailed pre-acquisition site analysis is essential for successful real estate development. It addresses environmental, regulatory, infrastructural, and market factors to help minimize risks and maximize opportunities. Roaya ensures that every project is built on informed decision-making and strategic planning.

Understanding Economic Trends: A Deep Dive into RBI's Consumer Confidence Survey (CCS) - November 2023 Join us in this insightful video where we explore the comprehensive results of the Reserve Bank of India's (RBI) Consumer Confidence Survey (CCS) from November 2023. This detailed analysis offers a unique perspective on various economic dimensions, including employment, pricing, inflation, income, and spending patterns, reflecting the economy's pulse through its participants' eyes. Our journey begins with an overview of the survey and its significance, followed by an in-depth examination of the time series data extracted from the RBI's report. We delve into the nuances of the survey's findings, revealing trends in economic situations, employment prospects, and the complex dynamics of inflation and pricing. The analysis extends to evaluating income trends and spending behaviours, both essential and non-essential, providing a holistic view of the economic sentiment prevailing among consumers. Utilizing the powerful visualization capabilities of a Tableau dashboard, we bring these statistics to life, enabling viewers to grasp the broader economic trends and their implications. The video guides you through a month-by-month, quarterly, and yearly analysis, highlighting significant shifts and patterns in consumer confidence and expectations. Link here - https://lnkd.in/dnEZfFhf Whether you're an economist, a student, or someone keen on understanding the economic trends shaping our world, this video offers valuable insights. We encourage interactive engagement, so if there's a specific economic dimension you're curious about, feel free to suggest it for our future videos. Thank you for tuning in, and don't forget to check out our previous video on the Inflation Expectation Survey of Households for a more rounded understanding of the current economic climate. #RBISurvey #ConsumerConfidence #EconomicTrends #InflationAnalysis #EmploymentData #IncomeTrends #SpendingPatterns #TableauDashboard #EconomicAnalysis #FinancialInsights #November2023CCS #ReserveBankOfIndia #EconomicSentiment #MacroEconomics #DataVisualization #EconomicForecasting #FinancialEducation

Europe’s Demographic Reckoning, The Silent Variable Reshaping Markets, Talent, Capital This graphic is not a map. It is a forward looking operating model for Europe. From today to 2050, Europe enters a period of highly asymmetric population change. Northern Europe plus selected Western markets continue to expand, while large parts of Central, Eastern, Southern Europe contract materially. This divergence will reshape labor supply, consumer demand, productivity, public finance, capital allocation, geopolitical weight. For senior leaders, this is not a macro curiosity. It is a structural input into strategy. Leading advisory firms including McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Deloitte, PwC, EY, Accenture consistently rank demographics among the most decisive long term value drivers. Population growth supports workforce depth, innovation density, fiscal sustainability, infrastructure efficiency. Population decline increases dependency ratios, compresses growth, raises structural cost. From a corporate perspective, several consequences are already visible: - Talent scarcity intensifies in growth markets - Automation adoption accelerates in shrinking labor pools - Healthcare, housing, retail demand rebalance sharply - Cross border talent mobility moves into board agendas Technology leaders such as Microsoft, Google, Amazon, SAP, Oracle, Meta, NVIDIA already adapt European roadmaps around productivity software, public sector digitization, artificial intelligence driven labor substitution. Demographics quietly shape platform investment priorities. From a capital markets lens, BlackRock, Vanguard, State Street, Goldman Sachs, J.P. Morgan, Morgan Stanley increasingly price demographic momentum into sovereign risk, infrastructure valuation, real asset strategy, long duration portfolios. Population growth attracts capital. Population decline requires compensating returns, discipline, reform credibility. Public institutions including the European Commission, OECD - OCDE, International Monetary Fund, The World Bank, World Economic Forum recognize the implications clearly. Migration frameworks, skills reskilling, pension reform, productivity investment shift from policy debate toward economic necessity. One conclusion stands out clearly. Europe does not age uniformly. Europe fragments demographically. Future winners will be countries, companies, investors that: - Act early - Invest in human capital - Deploy automation at scale - Compete globally for skills - Allocate capital aligned with demographic reality Demographics move slowly. Once they move, they dominate outcomes. The most prepared leaders plan for 2050 now. Others will manage consequences later.

Spotlight on Retail Site Selection: Sam Walton Was Doing Retail Analytics Before Retail Analytics Existed One of my favorite stories about Sam Walton is that he would fly his small airplane over towns looking for opportunities to build stores. Long before AI, GIS mapping, mobile location data, satellite imagery, and predictive analytics, Walton was studying: ✈️ Traffic patterns ✈️ Population growth ✈️ New housing developments ✈️ Commercial activity ✈️ Road infrastructure ✈️ Parking lots ✈️ Competitive locations He understood something that remains true today: Retail is local. While today’s retailers use far more sophisticated tools, the objective hasn’t changed. They’re still trying to answer one critical question: “Is this the right location for our customers?” Most shoppers see a new store and think: “That seems like a good location.” Retailers see millions of dollars of investment and years of planning. Before a retailer commits to a new store, teams of analysts, real estate specialists, data scientists, GIS experts, market researchers, and merchants evaluate hundreds of variables. Typical criteria include: 📍 Population density 📍 Population growth forecasts 📍 Household income levels 📍 Home ownership rates 📍 Family size and composition 📍 Age demographics 📍 Education levels 📍 Ethnic and cultural concentrations 📍 Vehicle ownership 📍 Daytime vs nighttime populations 📍 Commuter traffic patterns 📍 Public transit access 📍 Parking availability 📍 Tourism activity 📍 Employment growth 📍 Commercial development plans 📍 Housing starts and permits Then comes the competitive analysis: • Competitor store locations • Market share opportunities • Category spending potential • Trade area overlap • Cannibalization risk • Distribution efficiencies • Omnichannel fulfillment potential Today’s leading retailers also incorporate: • Mobile location data • Credit card spending insights • Loyalty card data • Census information • AI forecasting models • Consumer journey mapping • Predictive demographic modeling Different retailers prioritize different variables. A club retailer such as Costco Wholesale may focus heavily on income levels, household size, and vehicle ownership. A grocery retailer may emphasize household density and trip frequency. A dollar store may prioritize value-oriented trade areas. A home improvement retailer may analyze home ownership, housing starts, contractor density, and renovation spending. The science is incredibly sophisticated. But the goal is still remarkably simple: Put the right store in the right location for the right customer. For FMCG manufacturers, this matters because store locations directly influence: • Assortment decisions • Shelf space allocation • Pricing strategies • Promotional plans • Distribution networks • Category growth opportunities Understanding where retailers choose to expand can often provide an early signal of where future consumer demand is heading. The next time you drive by a new store under construction, remember: That location wasn’t selected because someone liked the corner. It was likely the result of thousands of data points, predictive models, demographic studies, traffic analyses, and years of strategic planning. And in many ways, retailers are still following the same principle Sam Walton used from the cockpit of a small airplane: Go where the customer is going. #Retail #RetailStrategy #StorePlanning #SiteSelection #RetailAnalytics #Walmart #Costco #HomeDepot #Target #Grocery #FMCG #CPG #CategoryManagement #ConsumerInsights #ShopperMarketing #RGM #RevenueGrowthManagement #DataScience #GIS #MarketResearch #CommercialRealEstate #SamWalton #RetailGrowth #LocationAnalytics 📧 cclement@kimchrisconsulting.com 🔗 https://lnkd.in/ergJK3RA

This week's episode of "What Would BK Do?" dives into one of the most hands-on, insightful exercises I've ever done in my career. Dan del Real via X asked: "During your walking tour of Manhattan during the pandemic, what did you look for and how did you track it?" We didn't have a formal checklist but we did have clear intent. We weren't out to check boxes. We were looking for physical signs of market activity: ↳ Properties under construction (cranes, concrete work, active sites) ↳ Sites where buildings had been recently demolished ↳ Properties built to less than 25% of their max zoning potential ↳ Sites suitable for assemblage in high-density zoning districts A property built to less than 25% of its allowable density is a signal. It’s likely underutilized and potentially ripe for development, especially in an “as-of-right” zoning city like NYC, where buildable potential is transparent. And our tools were simple: a printed zoning map and highlighters. We tracked the sites manually, marking development hotspots across Manhattan. As old school as it sounds, this method gave us a real tactile understanding of opportunities block by block. The best insights are not going to come from sitting at your desk. They come from hitting the streets, observing your market in real time, and connecting physical conditions to zoning and development potential. Thanks, Dan, for the thoughtful question! If you're in the field and want to truly understand your market, this blueprint works. When will you start your version of a walking tour? #WWBKD #BKREA #NYCRealEstate

The Multifamily Market Just Handed Us an Opportunity. Here's Why. 📊 Let me hit you with some numbers that should make every developer/investor stop and think: Multifamily starts? Down 74% from 2021. (CBRE, Q3 2024) Construction pipeline? Collapsing faster than anyone predicted. Everyone's panicking about oversupply. But the data tells a different story. Here's what actually happened: 2022-2023: Rates exploded. Projects stopped penciling. Starts fell off a cliff: down 70% from peak. (CBRE Research) 2024: That pipeline from the cheap money era kept delivering. 440,000 units hit the market. Vacancy climbed to 5.2%. (Fannie Mae, Freddie Mac) Rents? Negative growth in many markets for the first time in years. But here's what nobody's talking about (exception my friend Brad Hunter): Right now, for every 1.8 apartments finishing construction, only ONE is starting. (NAHB, Feb 2025) Read that again 👀: By 2026, deliveries will be cut in HALF. (CBRE) Ten of the sixteen largest markets already passed peak supply. The rest peak in 2025. The opportunity? It's staring us in the face. 🎯 → Cap rates jumped 155 bps from early 2022 to late 2023 (CBRE) → Cap rates now exceed pre-pandemic levels by 70 bps (CBRE) → Replacement costs? Through the roof from inflation → We can buy assets at pricing not seen in years While many are waiting for "the bottom," the opportunity is here now. Why this matters: The buy-vs-rent premium is still 32%. (CBRE) People literally cannot afford to buy homes, so they're staying renters longer. Job growth remains solid. Household formation continues. Supply is about to get TIGHT. Rent growth projected to accelerate to 4%+ by 2026. (CBRE, Freddie Mac) The timing for strategic acquisitions is becoming increasingly compelling. By late 2026, those sitting on the sidelines may find themselves competing for fewer opportunities at higher prices. This window won't stay open forever. ⏰ The best opportunities in multifamily happen when sentiment is worst but fundamentals are turning. We're in that moment right now. What are you seeing in your markets? Sources: CBRE US Real Estate Market Outlook 2025, Freddie Mac Multifamily Outlook, NAHB Market Research, Fannie Mae Multifamily Commentary #MultifamilyDevelopment #RealEstateInvesting #CommercialRealEstate #Apartments #CRE #MarketTiming #RealEstateDevelopment Southern Waters Capital

Publicly available datasets aspiring Public Health data professional/students should know One of the biggest advantages of working in Public Health in the UK is the availability of high quality open datasets. These datasets are used regularly by Public Health professionals, but they are also powerful tools for: Building a PH portfolio Identifying real population health challenges Developing strong dissertation topics Understanding how the UK PH system works Here are some key publicly available datasets worth knowing. Links in the comment session. 1. OHID Fingertips One of the most widely used PH data platforms in England. It provides indicators on: life expectancy smoking prevalence obesity mental health screening and vaccination health inequalities It allows comparisons across local authorities, regions and national averages, making it a core tool for population health monitoring. 2. Office for National Statistics (ONS) ONS provides the UK’s official population and demographic statistics. Datasets include: population estimates mortality and births life expectancy migration data socioeconomic indicators These datasets are widely used to analyse population trends and inequalities. 3. ONS Geoportal (geographic boundaries) Understanding geography is essential in PH analysis. The ONS Geoportal provides boundary files for: Local Authorities LSOAs and MSOAs Integrated Care Boards regions and wards These are used for mapping, spatial analysis and linking datasets. 4. Indices of Multiple Deprivation (IMD) Published by the Ministry of Housing, Communities and Local Government. IMD measures area-level deprivation using domains such as: income employment education health crime housing living environment Related measures include IDACI and IDAOPI, which are widely used in inequality analysis. 5. Department for Education datasets Many PH challenges intersect with education and child development. Key datasets include: free school meals eligibility (FSM) special educational needs and disabilities (SEND) education health and care plans (EHCP) school attendance and exclusions These are useful for analysing social determinants of health among children and young people. These datasets can help you: Identify real PH challenges Build data analysis portfolios Develop strong dissertation topics For example: You could analyse childhood obesity and deprivation across Local Authorities using Fingertips and IMD data, or explore school absence, SEND prevalence and deprivation patterns using Department for Education datasets. Projects like these demonstrate: analytical thinking population health understanding ability to interpret real-world data These are exactly the skills employers look for in PH data roles. PH data is not just about learning software. It is about understanding how population health challenges are measured and analysed, and these datasets provide a powerful way to familiarise yourself with the UK PH data ecosystem.