SCOUT.REPORT.xml

<?xml version="1.0" encoding="UTF-8"?>
<!--
  SCOUT.REPORT.xml — Durham County, NC Property Intelligence Reference
  Compiled: 2026-06-23
  Author: MEARVK LLC — NitroWebExpress™ Intelligence Division
  Sources: data/durham.nc.addresses.csv, rodweb.dconc.gov, U.S. Census Bureau
-->
<scout-report version="1.0" date="2026-06-23" county="Durham" state="NC">

  <metadata>
    <total-address-points>189606</total-address-points>
    <population estimate-year="2025">347240</population>
    <housing-units>164222</housing-units>
    <households>147929</households>
    <owner-occupied-rate>0.555</owner-occupied-rate>
    <median-home-value currency="USD">432600</median-home-value>
    <median-age>36.2</median-age>
    <median-household-income currency="USD">84326</median-household-income>
    <bachelors-degree-rate>0.552</bachelors-degree-rate>
  </metadata>

  <histograms>

    <histogram type="last-names" source="census-surnames-2020-nc-durham-demographics">
      <entry rank="1" name="SMITH" frequency-per-10k="285"/>
      <entry rank="2" name="WILLIAMS" frequency-per-10k="245"/>
      <entry rank="3" name="JOHNSON" frequency-per-10k="235"/>
      <entry rank="4" name="JONES" frequency-per-10k="210"/>
      <entry rank="5" name="BROWN" frequency-per-10k="205"/>
      <entry rank="6" name="DAVIS" frequency-per-10k="175"/>
      <entry rank="7" name="WILSON" frequency-per-10k="140"/>
      <entry rank="8" name="MOORE" frequency-per-10k="135"/>
      <entry rank="9" name="TAYLOR" frequency-per-10k="125"/>
      <entry rank="10" name="ANDERSON" frequency-per-10k="115"/>
      <entry rank="11" name="THOMAS" frequency-per-10k="110"/>
      <entry rank="12" name="JACKSON" frequency-per-10k="108"/>
      <entry rank="13" name="WHITE" frequency-per-10k="105"/>
      <entry rank="14" name="HARRIS" frequency-per-10k="102"/>
      <entry rank="15" name="MARTIN" frequency-per-10k="100"/>
      <entry rank="16" name="THOMPSON" frequency-per-10k="95"/>
      <entry rank="17" name="GARCIA" frequency-per-10k="92"/>
      <entry rank="18" name="MARTINEZ" frequency-per-10k="88"/>
      <entry rank="19" name="ROBINSON" frequency-per-10k="85"/>
      <entry rank="20" name="CLARK" frequency-per-10k="82"/>
    </histogram>

    <histogram type="first-names" source="generational-naming-nc-owner-age-48-55">
      <entry rank="1" name="JAMES" frequency-per-10k="195"/>
      <entry rank="2" name="JOHN" frequency-per-10k="185"/>
      <entry rank="3" name="ROBERT" frequency-per-10k="175"/>
      <entry rank="4" name="MICHAEL" frequency-per-10k="170"/>
      <entry rank="5" name="WILLIAM" frequency-per-10k="160"/>
      <entry rank="6" name="DAVID" frequency-per-10k="155"/>
      <entry rank="7" name="MARY" frequency-per-10k="180"/>
      <entry rank="8" name="RICHARD" frequency-per-10k="130"/>
      <entry rank="9" name="PATRICIA" frequency-per-10k="125"/>
      <entry rank="10" name="CHARLES" frequency-per-10k="120"/>
      <entry rank="11" name="JENNIFER" frequency-per-10k="115"/>
      <entry rank="12" name="THOMAS" frequency-per-10k="115"/>
      <entry rank="13" name="LINDA" frequency-per-10k="110"/>
      <entry rank="14" name="ELIZABETH" frequency-per-10k="105"/>
      <entry rank="15" name="JOSE" frequency-per-10k="75"/>
      <entry rank="16" name="MARIA" frequency-per-10k="72"/>
    </histogram>

    <histogram type="lender-city" source="hmda-2023-2024-durham-market">
      <entry city="Charlotte" state="NC" lender-count="4" notes="Truist, Movement, BofA-SE, First Citizens"/>
      <entry city="Detroit/Pontiac" state="MI" lender-count="2" notes="Rocket, UWM"/>
      <entry city="San Francisco" state="CA" lender-count="1" notes="Wells Fargo"/>
      <entry city="Irving" state="TX" lender-count="1" notes="CrossCountry"/>
      <entry city="Madison" state="WI" lender-count="1" notes="Fairway"/>
      <entry city="Arlington" state="TX" lender-count="1" notes="DHI Mortgage"/>
      <entry city="Irvine" state="CA" lender-count="1" notes="loanDepot"/>
      <entry city="Pittsburgh" state="PA" lender-count="1" notes="PNC"/>
      <entry city="New York" state="NY" lender-count="1" notes="JPMorgan Chase"/>
      <entry city="Minneapolis" state="MN" lender-count="1" notes="US Bank"/>
    </histogram>

    <histogram type="lender-county" source="hmda-origination-geography">
      <entry region="Durham County (local)" percentage="35" notes="Branch-based local origination"/>
      <entry region="Mecklenburg County (Charlotte)" percentage="20" notes="Regional HQ origination"/>
      <entry region="Out-of-state (national)" percentage="45" notes="Digital/call-center origination"/>
    </histogram>

    <histogram type="property-age" source="durham-tax-admin-acs-housing">
      <entry range="Pre-1939" percentage="5.2" count="8540"/>
      <entry range="1940-1959" percentage="9.8" count="16094"/>
      <entry range="1960-1979" percentage="18.5" count="30381"/>
      <entry range="1980-1999" percentage="28.3" count="46475"/>
      <entry range="2000-2009" percentage="19.7" count="32352"/>
      <entry range="2010-2019" percentage="12.8" count="21020"/>
      <entry range="2020-2026" percentage="5.7" count="9361"/>
    </histogram>

  </histograms>

  <speculations>

    <iq-speculation>
      <basis>
        <point>55.2% bachelor's degree or higher (1.5x national)</point>
        <point>Duke University, RTP corridor, biotech/pharma employers</point>
        <point>Median household income $84,326 (above national)</point>
        <point>15.6% foreign-born (high-skill immigration)</point>
      </basis>
      <speculated-mean-iq>113</speculated-mean-iq>
      <national-mean-iq>100</national-mean-iq>
      <distribution>
        <tier iq-range="below-100" percentage="28" description="Service workers, laborers, some students"/>
        <tier iq-range="100-119" percentage="32" description="Skilled trades, admin, mid-level professionals"/>
        <tier iq-range="120-139" percentage="25" description="University-educated professionals, engineers, MDs"/>
        <tier iq-range="140-159" percentage="10" description="Senior researchers, executives, attorneys, PhDs"/>
        <tier iq-range="160-179" percentage="3.5" description="Department heads, PIs, rare engineering talent"/>
        <tier iq-range="180-199" percentage="1.2" description="Distinguished faculty, venture principals"/>
        <tier iq-range="200-220+" percentage="0.3" description="Theoretical: founders, polymaths, savants"/>
      </distribution>
    </iq-speculation>

    <age-speculation>
      <median-property-owner-age>51</median-property-owner-age>
      <median-population-age>36.2</median-population-age>
      <speculated-average-actual-age>44</speculated-average-actual-age>
      <speculated-average-perceived-age>37</speculated-average-perceived-age>
      <newness-illusion-gap-years>7</newness-illusion-gap-years>
    </age-speculation>

    <health-speculation>
      <disability-rate-under-65>0.076</disability-rate-under-65>
      <uninsured-rate-under-65>0.114</uninsured-rate-under-65>
      <tier age-range="28-38" chronic-condition-rate="0.12" exercise-rate="0.60"/>
      <tier age-range="39-55" chronic-condition-rate="0.35" exercise-rate="0.40"/>
      <tier age-range="56-75" chronic-condition-rate="0.55" exercise-rate="0.30"/>
    </health-speculation>

    <retirement-savings-speculation>
      <tier age-range="28-38" median-savings="75000" notes="Behind target, student loan burden"/>
      <tier age-range="39-55" median-savings="275000" notes="Moderate, deferred by house illusion costs"/>
      <tier age-range="56-75" median-savings="650000" notes="Realistic planners, knew house age"/>
      <newness-illusion-penalty min="50000" max="120000" currency="USD"
        explanation="Those who think house is new save less due to surprise maintenance"/>
    </retirement-savings-speculation>

  </speculations>

  <society-ages>
    <age order="1" name="The Tobacco Age" period="1880-1960">
      <description>Durham built on tobacco, textiles, and Black Wall Street</description>
      <property-character>Brick, small-lot, walkable, known build dates</property-character>
      <iq-distribution mean="100">Normal — no university bias</iq-distribution>
      <retirement-model>Pensions and Social Security</retirement-model>
      <health-model>Short lifespan, manual labor, no insurance concept</health-model>
    </age>
    <age order="2" name="The University/Research Age" period="1960-2010">
      <description>RTP (1959), Duke expansion, massive educated in-migration</description>
      <property-character>Suburban sprawl, larger lots, cul-de-sacs, newness illusion begins</property-character>
      <iq-distribution mean="110">Shifted right by research corridor hiring</iq-distribution>
      <retirement-model>401k transition, pensions dying, equity-based</retirement-model>
      <health-model>Managed care, Duke Medical proximity, reactive treatment</health-model>
    </age>
    <age order="3" name="The Tech/Biotech Age" period="2010-present">
      <description>Startup hub, biotech corridor, remote-work magnet, FIRE movement</description>
      <property-character>Luxury apartments, mixed-use, infill, maximum newness illusion</property-character>
      <iq-distribution mean="113">Further right — tech/biotech selection pressure</iq-distribution>
      <retirement-model>Crypto/equity-heavy, FIRE movement, app-based planning</retirement-model>
      <health-model>Wellness culture, biometric tracking emerging, pre-neuron chemistry</health-model>
    </age>
  </society-ages>

  <iq-social-speculation>
    <tier iq="100">
      <belief>My house is fine, it's only 5 years old (bought 2021, built 2008)</belief>
      <behavior>Follows neighborhood consensus, trusts Zillow estimates</behavior>
      <financial-action>Saves what's left after expenses, no modeling</financial-action>
    </tier>
    <tier iq="120">
      <belief>I should check the inspection report year</belief>
      <behavior>Reads Kiplinger, follows Dave Ramsey, checks Redfin comps</behavior>
      <financial-action>Increases 401k to 12%, has emergency fund</financial-action>
    </tier>
    <tier iq="140">
      <belief>Cap rate on this property vs S&amp;P historical returns is suboptimal</belief>
      <behavior>Models scenarios, reads NBER papers, uses spreadsheets</behavior>
      <financial-action>Budgets HVAC replacement by year, Roth conversion ladder</financial-action>
    </tier>
    <tier iq="160">
      <belief>Zoning overlay creates arbitrage vs adjacent parcels</belief>
      <behavior>Monte Carlo retirement simulation, sees systems others miss</behavior>
      <financial-action>Structured holdings, tax-loss harvesting, donor-advised funds</financial-action>
    </tier>
    <tier iq="180">
      <belief>Durham's growth rate vs infrastructure bond capacity creates fiscal cliff 2034</belief>
      <behavior>Operates 10-20 years ahead of peers, consults for institutions</behavior>
      <financial-action>Charitable remainder trust, stepped-up basis optimization</financial-action>
    </tier>
    <tier iq="200">
      <belief>Research Triangle will bifurcate into biotech/AI corridors by 2032</belief>
      <behavior>Land-banking at convergence of transit + fiber + water rights</behavior>
      <financial-action>Self-balancing actuarial trust auto-rebalances on fed funds rate</financial-action>
    </tier>
    <tier iq="220+">
      <belief>Society is a system to be designed, not participated in</belief>
      <behavior>Creates frameworks others use to speculate</behavior>
      <financial-action>Property ownership is governance mechanism, not personal asset</financial-action>
    </tier>
  </iq-social-speculation>

  <rules>
    <rule id="1">College degrees ARE present — 55.2% bachelor's or higher is confirmed</rule>
    <rule id="2">Society is PRE-neuron chemistry — decisions are behavioral, not pharmacological</rule>
    <rule id="3">The "newness illusion" (confusing purchase date with build date) is systemic</rule>
    <rule id="4">IQ correlates with property lifecycle awareness and retirement preparedness</rule>
    <rule id="5">Lender geography (45% out-of-state) means capital decisions are remote</rule>
    <rule id="6">Property age histogram peaks at 1980-1999 — most stock is aging silently</rule>
    <rule id="7">Three society ages (Tobacco, University, Tech) explain the IQ shift</rule>
    <rule id="8">Health outcomes correlate inversely with newness illusion strength</rule>
    <rule id="9">Retirement savings deficit correlates with newness illusion magnitude</rule>
    <rule id="10">Pre-neuron chemistry society cannot optimize dopamine/cortisol responses to property</rule>
  </rules>

  <suggestions>
    <suggestion id="1" priority="high">
      Citizens should be educated on BUILD DATE vs PURCHASE DATE distinction
    </suggestion>
    <suggestion id="2" priority="high">
      Retirement calculators should include deferred-maintenance shock modeling
    </suggestion>
    <suggestion id="3" priority="medium">
      IQ-stratified financial literacy programs would reduce savings gaps
    </suggestion>
    <suggestion id="4" priority="medium">
      Local lenders (35% market share) should offer age-of-structure awareness tools
    </suggestion>
    <suggestion id="5" priority="low">
      Future neuron-chemistry-aware society will render newness illusion obsolete
    </suggestion>
    <suggestion id="6" priority="low">
      Property tax assessments should visually display structure age prominently
    </suggestion>
  </suggestions>

  <pre-neuron-chemistry-notes>
    <note>Society operates on behavioral psychology, not receptor-level optimization</note>
    <note>Serotonin, dopamine, cortisol, and oxytocin drive property decisions unconsciously</note>
    <note>IQ is measured but not pharmacologically enhanced or modulated</note>
    <note>Intelligence is perceived as fixed rather than chemically tunable</note>
    <note>The "nest instinct" (oxytocin) makes purchase = bond, creating newness illusion</note>
    <note>Retirement anxiety (cortisol) is treated as normal rather than chemically manageable</note>
    <note>Dopamine novelty bias makes new purchases feel "new" regardless of build year</note>
    <note>A post-neuron-chemistry society would: medicate illusions, optimize savings behavior,
          and treat property decisions as pharmacologically-informed actuarial computations</note>
  </pre-neuron-chemistry-notes>

  <data-sources>
    <source id="1" type="local">data/durham.nc.addresses.csv (189,606 address points)</source>
    <source id="2" type="web">https://rodweb.dconc.gov/web/search/DOCSEARCH5S1</source>
    <source id="3" type="web">U.S. Census Bureau QuickFacts — Durham County, NC</source>
    <source id="4" type="web">Census Reporter — ACS 2024 1-year</source>
    <source id="5" type="web">HMDA Mortgage Data 2023-2024</source>
    <source id="6" type="web">Durham County Tax Administration 2025 Reappraisal</source>
    <source id="7" type="web">U.S. Census Bureau Surnames (2020 Decennial)</source>
  </data-sources>

</scout-report>