193/501 Queen Street, Brisbane City QLD 4000

under 900 chars incl spaces. Single paragraph. Must cover points. AFR-style precise confident advisory. No marketing. Use data. Omit N/A. Need mention Brisbane City QLD 4000 positioning central urban high-density units. Demand drivers: investors/first-home buyers, interstate migrants, 41.1% investor finance. Price trends: units up 25% in Brisbane City; Brisbane-wide unit medians 770,471 with 8.1% quarterly, 824,764 18.3% annual, or 844,844 20.1% annual — need reconcile or choose? Data says Brisbane City units up 25%. We can say unit prices in Brisbane City rose 25%, with broader median around $824,764 or $844,844? Need be accurate. House data sparse due to predominance of units; Brisbane-wide house median $1.17m with 4.5% quarterly, annual growth 15.7-16.7%. Future: Cross River Rail transforming connectivity, supply constraints new listings down 9.2%, vacancy 1% forecast 0.7%, rent growth 6.2/6.6. Risks: affordability, low supply, rate sensitivity. Need under 900. Let’s craft. Count roughly. Write paragraph. “Brisbane City QLD 4000 functions as a high-density inner-urban unit market, with limited detached housing stock skewing house metrics to broader Brisbane. Demand centres on investors and first-home buyers, with investor finance at 41.1%, reinforced by interstate migrants from Sydney and Melbourne. Unit prices in the suburb have lifted 25%, while Brisbane-wide unit medians range from $770,471 (8.1% quarterly) to $844,844 (20.1% annual); house values sit at $1.17 million, rising 4.5% quarterly and 15.7–16.7% annually. The rental market is extremely tight, with vacancy at 1.0% and forecast to fall to 0.7%, while rents grow 6.2% for houses and 6.6% for units; gross yields sit at 4.0% for units and 4.1–4.6% for houses. New listings are down 9.2% year-on-year and supply sits 29% below the five-year average, which should maintain pricing pressure. The opening of Cross River Rail in 2025 will further entrench connectivity advantages. The key constraints are affordability, which is pushing buyers toward units, and sensitivity to higher borrowing costs, which could temper demand despite ongoing migration support.” Count characters? Let’s estimate. I’ll copy to counter mentally. Roughly 1000? Need trim. Let’s write concise. Need under 900. Let’s check with character count by approximate. I’ll count manually? Better produce shorter. Draft: “Brisbane City QLD 4000 is a central high-density unit market, where sparse detached housing data means house metrics reflect broader Brisbane. Investor and first-home-buyer demand dominates, with investor finance at 41.1% and interstate migration from Sydney and Melbourne adding pressure. Brisbane City units have risen 25%; Brisbane-wide unit medians sit around $770,471 (8.1% quarterly) and $844,844 (20.1% annually), while house prices are $1.17 million, up 4.5% quarterly and 15.7–16.7% annually. Vacancy is 1.0%, heading to 0.7%, with rent growth of 6.2% for houses and 6.6% for units; yields are 4.0% for units and 4.1–4.6% for houses. Supply constraints are acute — new listings down 9.2% year-on-year and stock 29% below the five-year average. Cross River Rail, opening 2025, improves connectivity. Risks: affordability pressures channel demand into units, while higher borrowing costs could temper buyer activity.” Count: let’s count characters including spaces. We’ll write in segments. Text: “Brisbane City QLD 4000 is a central high-density unit market, where sparse detached housing data means house metrics reflect broader Brisbane. ” – Let’s count: “Brisbane” 8, space 1 =9? Let’s use rough. Better use an approximate counter method: each line ~150? We’ll do detailed. Segment1: “Brisbane City QLD 4000 is a central high-density unit market, where sparse detached housing data means house metrics reflect broader Brisbane. ” Count: “Brisbane” 8, ” ” 1 =9; “City” 4 ->13, ” “=14; “QLD”3=17,” “=18; “4000”4=22,” “=23; “is”2=25,” “=26; “a”1=27,” “=28; “central”7=35,” “=36; “high-density”12? h-i-g-h (4) – (1) d-e-n-s-i-t-y (7) total 11? “high-density” = 12 including hyphen? h(1)i2g3h4-5d6e7n8s9i10t11y12 =12. So 35+12=47? Let’s step. Actually “central” 7, then space =8, “high-density” 12, total 20. Then space 1=21, “unit”4=25, space=26, “market,”7? “market”6 + comma =7 ->33, space=34, “where”5=39, space=40, “sparse”6=46, space=47, “detached”8=55, space=56, “housing”7=63, space=64, “data”4=68, space=69, “means”5=74, space=75, “house”5=80, space=81, “metrics”7=88, space=89, “reflect”7=96, space=97, “broader”7=104, space=105, “Brisbane.” 9 (Brisbane 8 + period) =114. So segment1 = 114 chars (including spaces after? Let’s count trailing space after Brisbane. The segment includes trailing space. We had “Brisbane.” then space? Actually segment1 ends “Brisbane. ” with period then space. So 114 + 1 =115? Let’s recalc from start: I included spaces between words, but after “Brisbane.” we have a space as separator. Let’s list with positions. Write string: “Brisbane City QLD 4000 is a central high-density unit market, where sparse detached housing data means house metrics reflect broader Brisbane. ” Let’s count using grouping: “Brisbane ” = 9 (8+space) “City ” = 5 (4+space) ->14 “QLD ” = 4 (3+space) ->18 “4000 ” = 5 (4+space) ->23 “is ” = 3 ->26 “a ” = 2 ->28 “central ” = 8 ->36 “high-density ” = 13 (12+space) ->49 “unit ” = 5 ->54 “market, ” = 7 (6+comma? market=6, comma=1, space=1 ->8? Let’s do: “market”6 then comma1 =7 then space1=8. So +8 ->62) “where ” = 6 ->68 “sparse ” = 7 ->75 “detached ” = 9 ->84 “housing ” = 8 ->92 “data ” = 5 ->97 “means ” = 6 ->103 “house ” = 6 ->109 “metrics ” = 8 ->117 “reflect ” = 8 ->125 “broader ” = 8 ->133 “Brisbane. ” = 10 (Brisbane 8 + period1 + space1) ->143. Good. Segment1 = 143. Segment2: “Investor and first-home-buyer demand dominates, with investor finance at 41.1% and interstate migration from Sydney and Melbourne adding pressure. ” Count: “Investor ” =9 (8+space) ->? Start 143 +9=152 “and ” =4 ->156 “first-home-buyer ” =? first 5 + hyphen1 + home4 + hyphen1 + buyer5 =16? 5+1+4+1+5=16, plus space=17. ->173 “demand ” =7 ->180 “dominates, ” =10? dominates 9 + comma1 + space1=11. Actually “dominates” 9, comma 1 =10, space 1=11. ->191 “with ” =5 ->196 “investor ” =9 ->205 “finance ” =8 ->213 “at ” =3 ->216 “41.1% ” =5? 4-1-.-1-% =5 plus space=6 ->222 “and ” =4 ->226 “interstate ” =11 ->237 “migration ” =10 ->247 “from ” =5 ->252 “Sydney ” =7 ->259 “and ” =4 ->263 “Melbourne ” =10 ->273 “adding ” =7 ->280 “pressure. ” =10 (pressure9 + period1 + space1? “pressure.” is 9? pressure=9? p r e s s u r e =8? Wait p1 r2 e3 s4 s5 u6 r7 e8 =8. Plus period=9, plus space=10. So +10 ->290. So segment2 adds 147 (290-143). Good. Segment3: “Brisbane City units have risen 25%; Brisbane-wide unit medians sit around $770,471 (8.1% quarterly) and $844,844 (20.1% annually), while house prices are $1.17 million, up 4.5% quarterly and 15.7–16.7% annually. ” Count: start 290. “Brisbane ” =9 ->299 “City ” =5 ->304 “units ” =6 ->310 “have ” =5 ->315 “risen ” =6 ->321 “25%; ” =5? 2 5 % ; + space =5 (25 is 2, %=1, ;=1, space=1 total5) ->326 “Brisbane-wide ” =? Brisbane 8 + hyphen1 + wide4 =13 + space=14 ->340 “unit ” =5 ->345 “medians ” =8 ->353 “sit ” =4 ->357 “around ” =7 ->364 “$770,471 ” =8? $1,7,7,0,comma,4,7,1 =8? $ (1) 7(2)7(3)0(4),(5)4(6)7(7)1(8) plus space=9 ->373 “(8.1% ” =6? ( 1, 8, ., 1, %, space =6? Characters: ‘(‘=1, ‘8’=2, ‘.’=3, ‘1’=4, ‘%’=5, ‘ ‘=6 ->379 “quarterly) ” =10? quarterly 9? q u a r t e r l y =9, ‘)’=1, space=1 ->11? Actually “quarterly)” =10 (9+), plus space 11. ->390 “and ” =4 ->394 “$844,844 ” =8? $ 8 4 4 , 8 4 4 =8 plus space=9 ->403 “(20.1% ” =7? ( 2 0 . 1 % space =7? ‘(‘1,’2’2,’0’3,’.’4,’1’5,’%’6,’ ‘7 ->410 “annually), ” =10? annually 8? a n n u a l l y =8, ‘)’=1, ‘,’=1, space=1 =>11? “annually),” =10 (8+),+comma? Let’s see: “annually),” = 8 + ‘)’ + ‘,’ =10, then space=1 ->11. So +11 ->421 “while ” =6 ->427 “house ” =6 ->433 “prices ” =7 ->440 “are ” =4 ->444 “$1.17 ” =5? $1.17 =5? $ (1) 1(2) .(3) 1(4) 7(5) plus space=6 ->450 “million, ” =8? million 7 + comma1 + space1 =9? “million” 7, comma 1 =8, space 1=9 ->459 “up ” =3 ->462 “4.5% ” =4? 4 . 5 % =4 plus space=5 ->467 “quarterly ” =10 ->477 “and ” =4 ->481 “15.7–16.7% ” =? 15.7 =4, en dash=1, 16.7=4, %=1, space=1 =>11? “15.7” 4, “–”1 =5, “16.7”4 =9, “%”1=10, space=1=11 ->492 “annually. ” =9? annually 8 + period1 + space1=10 ->502. So segment3 = 212 chars (502-290). Good. Segment4: “Vacancy is 1.0%, heading to 0.7%, with rent growth of 6.2% for houses and 6.6% for units; yields are 4.0% for units and 4.1–4.6% for houses. ” Count from 502. “Vacancy ” =8 ->510 “is ” =3 ->513 “1.0%, ” =5? 1 . 0 % , space =5? 1(1) .(2) 0(3) %(4) ,(5) space(6) actually comma included: “1.0%,” length 5, plus space=6. So +6 ->519 “heading ” =8 ->527 “to ” =3 ->530 “0.7%, ” =5? 0 . 7 % , + space =6 ->536 “with ” =5 ->541 “rent ” =5 ->546 “growth ” =7 ->553 “of ” =3 ->556 “6.2% ” =4? 6 . 2 % + space =5 ->561 “for ” =4 ->565 “houses ” =7 ->572 “and ” =4 ->576 “6.6% ” =5 ->581 “for ” =4 ->585 “units; ” =6? units5 + ;1 + space1=7 ->592 “yields ” =7 ->599 “are ” =4 ->603 “4.0% ” =5 ->608 “for ” =4 ->612 “units ” =6 ->618 “and ” =4 ->622 “4.1–4.6% ” =? 4 . 1 – 4 . 6 % =7? “4.1”3, en dash1=4, “4.6”3=7, “%”1=8, space=9 ->631 “for ” =4 ->635 “houses. ” =8? houses6 + period1 + space1 =8 ->643. So segment4 =141 chars. Segment5: “Supply constraints are acute — new listings down 9.2% year-on-year and stock 29% below the five-year average. ” Count from 643. “Supply ” =7 ->650 “constraints ” =12 ->662 “are ” =4 ->666 “acute ” =6 ->672 “— ” = em dash (1) + space1 =2? “—” is one char, plus space =2. ->674 “new ” =4 ->678 “listings ” =9 ->687 “down ” =5 ->692 “9.2% ” =5 ->697 “year-on-year ” =? year4 + hyphen1 + on2 + hyphen1 + year4 =12, plus space=13 ->710 “and ” =4 ->714 “stock ” =6 ->720 “29% ” =4 ->724 “below ” =6 ->730 “the ” =4 ->734 “five-year ” =9? five4 + hyphen1 + year4 =9, plus space=10 ->744 “average. ” =8? average7 + period1 + space1=9 ->753. So segment5 =110. Segment6: “Cross River Rail, opening 2025, improves connectivity. ” Count from 753. “Cross ” =6 ->759 “River ” =6 ->765 “Rail, ” =5? Rail4 + comma1 + space1 =6 ->771 “opening ” =8 ->779 “2025, ” =5? 2025 4 + comma1 + space1 =6 ->785 “improves ” =9 ->794 “connectivity. ” =14? connectivity 13? c o n n e c t i v i t y =12? Let’s count: c(1)o2n3n4e5c6t7i8v9i10t11y12. Actually “connectivity” = 12. plus period=1, space=1 =>14. So +14 ->808. Segment6 =55. Segment7: “Risks: affordability pressures channel demand into units, while higher borrowing costs could temper buyer activity.” Count from 808. “Risks: ” =6? Risks5 + colon1 + space1 =7 ->815 “affordability ” =14? affordability 13? a f f o r d a b i l i t y =13? a1 f2 f3 o4 r5 d6 a7 b8 i9 l10 i11 t12 y13. plus space=14 ->829 “pressures ” =10 ->839 “channel ” =8 ->847 “demand ” =7 ->854 “into ” =5 ->859 “units, ” =6? units5+comma1+space1=7 ->866 “while ” =6 ->872 “higher ” =7 ->879 “borrowing ” =10 ->889 “costs ” =6 ->895 “could ” =6 ->901 “temper ” =7 ->908 “buyer ” =6 ->914 “activity.” =9? activity8? a c t i v i t y =8, period=1 =>9. Total 923. Oops exceeds 900. Need trim. Need reduce ~30 chars. Remove some words. Options: – “Brisbane City QLD 4000 is a central high-density unit market, with sparse detached housing data skewing house metrics to broader Brisbane.” (similar) – Remove “median” or “sit around” etc. – “Brisbane City units up 25%”? Need verb. Let’s produce final under 900. We’ll shorten. Potential final paragraph: “Brisbane City QLD 4000 is an inner-urban high-density unit market; sparse detached housing data means house metrics reflect broader Brisbane. Investors and first-home buyers dominate, with investor finance at 41.1% and interstate migration from Sydney and Melbourne. Brisbane City units have risen 25%; Brisbane-wide unit medians are $770,471 (8.1% quarterly) and $844,844 (20.1% annually), while house prices are $1.17 million, up 4.5% quarterly and 15.7–16.7% annually. Vacancy is 1.0%, heading to 0.7%; rents grow 6.2% for houses and 6.6% for units, with yields of 4.0% for units and 4.1–4.6% for houses. Supply is tight: new listings down 9.2% year-on-year and stock 29% below the five-year average. Cross River Rail opens in 2025, improving connectivity. The key risks are affordability, which channels demand to units, and rate sensitivity, which could temper buyer activity.” Count this. Let’s count carefully. String: “Brisbane City QLD 4000 is an inner-urban high-density unit market; sparse detached housing data means house metrics reflect broader Brisbane. Investors and first-home buyers dominate, with investor finance at 41.1% and interstate migration from Sydney and Melbourne. Brisbane City units have risen 25%; Brisbane-wide unit medians are $770,471 (8.1% quarterly) and $844,844 (20.1% annually), while house prices are $1.17 million, up 4.5% quarterly and 15.7–16.7% annually. Vacancy is 1.0%, heading to 0.7%; rents grow 6.2% for houses and 6.6% for units, with yields of 4.0% for units and 4.1–4.6% for houses. Supply is tight: new listings down 9.2% year-on-year and stock 29% below the five-year average. Cross River Rail opens in 2025, improving connectivity. The key risks are affordability, which channels demand to units, and rate sensitivity, which could temper buyer activity.” Count using grouping. Group1: “Brisbane City QLD 4000 is an inner-urban high-density unit market; sparse detached housing data means house metrics reflect broader Brisbane. ” Let’s count precisely. Brisbane(8) space=9 City(4) space=13 QLD(3) space=16? Wait 13+4? Let’s do cumulative: “Brisbane ” =9 “City ” =5 ->14 “QLD ” =4 ->18 “4000 ” =5 ->23 “is ” =3 ->26 “an ” =3 ->29 “inner-urban ” =? inner5 + hyphen1 + urban5 =11 + space1=12 ->41 “high-density ” =13 ->54 “unit ” =5 ->59 “market; ” =? market6 + semicolon1 + space1=8 ->67 “sparse ” =7 ->74 “detached ” =9 ->83 “housing ” =8 ->91 “data ” =5 ->96 “means ” =6 ->102 “house ” =6 ->108 “metrics ” =8 ->116 “reflect ” =8 ->124 “broader ” =8 ->132 “Brisbane. ” =10 ->142. So group1 142. Group2: “Investors and first-home buyers dominate, with investor finance at 41.1% and interstate migration from Sydney and Melbourne. ” Investors = 9? I n v e s t o r s =9, space=10 and =4 ->14? Let’s cumulative after group1: “Investors ” =10 ->152 “and ” =4 ->156 “first-home ” =? first5 + hyphen1 + home4 =10 + space1=11 ->167 “buyers ” =7 (buyers6 + space) ->174 “dominate, ” =? dominate8? d o m i n a t e =8, comma1=9, space1=10 ->184 “with ” =5 ->189 “investor ” =9 ->198 “finance ” =8 ->206 “at ” =3 ->209 “41.1% ” =6 ->215 “and ” =4 ->219 “interstate ” =11 ->230 “migration ” =10 ->240 “from ” =5 ->245 “Sydney ” =7 ->252 “and ” =4 ->256 “Melbourne. ” =11? Melbourne9 (M e l b o u r n e =9? M1 e2 l3 b4 o5 u6 r7 n8 e9) plus period1 =10, space1=11 ->267. Group2 =125. Group3: “Brisbane City units have risen 25%; Brisbane-wide unit medians are $770,471 (8.1% quarterly) and $844,844 (20.1% annually), while house prices are $1.17 million, up 4.5% quarterly and 15.7–16.7% annually. ” Count from 267. “Brisbane ” =9 ->276 “City ” =5 ->281 “units ” =6 ->287 “have ” =5 ->292 “risen ” =6 ->298 “25%; ” =5? 2 5 % ; space =5? “25%”=3, ‘;’=1, space=1 ->5 ->303 “Brisbane-wide ” =14 ->317 “unit ” =5 ->322 “medians ” =8 ->330 “are ” =4 ->334 “$770,471 ” =9 ->343 “(8.1% ” =6 ->349 “quarterly) ” =11 ->360 “and ” =4 ->364 “$844,844 ” =9 ->373 “(20.1% ” =7 ->380 “annually), ” =11 ->391 “while ” =6 ->397 “house ” =6 ->403 “prices ” =7 ->410 “are ” =4 ->414 “$1.17 ” =6 ->420 “million, ” =9 ->429 “up ” =3 ->432 “4.5% ” =5 ->437 “quarterly ” =10 ->447 “and ” =4 ->451 “15.7–16.7% ” =11 ->462 “annually. ” =10 ->472. Group3 =205. Group4: “Vacancy is 1.0%, heading to 0.7%; rents grow 6.2% for houses and 6.6% for units, with yields of 4.0% for units and 4.1–4.6% for houses. ” Count from 472. “Vacancy ” =8 ->480 “is ” =3 ->483 “1.0%, ” =6 ->489 “heading ” =8 ->497 “to ” =3 ->500 “0.7%; ” =? 0 . 7 % ; + space =6? “0.7%”4, “;”1, space1=6 ->506 “rents ” =6 ->512 “grow ” =5 ->517 “6.2% ” =5 ->522 “for ” =4 ->526 “houses ” =7 ->533 “and ” =4 ->537 “6.6% ” =5 ->542 “for ” =4 ->546 “units, ” =7 ->553 “with ” =5 ->558 “yields ” =7 ->565 “of ” =3 ->568 “4.0% ” =5 ->573 “for ” =4 ->577 “units ” =6 ->583 “and ” =4 ->587 “4.1–4.6% ” =9 ->596 “for ” =4 ->600 “houses. ” =8 ->608. Group4 =136. Group5: “Supply is tight: new listings down 9.2% year-on-year and stock 29% below the five-year average. ” From 608. “Supply ” =7 ->615 “is ” =3 ->618 “tight: ” =6? tight5 + colon1 + space1=7 ->625 “new ” =4 ->629 “listings ” =9 ->638 “down ” =5 ->643 “9.2% ” =5 ->648 “year-on-year ” =13 ->661 “and ” =4 ->665 “stock ” =6 ->671 “29% ” =4 ->675 “below ” =6 ->681 “the ” =4 ->685 “five-year ” =10 ->695 “average. ” =9 ->704. Group5 =96. Group6: “Cross River Rail opens in 2025, improving connectivity. ” From 704. “Cross ” =6 ->710 “River ” =6 ->716 “Rail ” =5 ->721 “opens ” =6 ->727 “in ” =3 ->730 “2025, ” =6 ->736 “improving ” =10 ->746 “connectivity. ” =14 ->760. Group6 =56. Group7: “The key risks are affordability, which channels demand to units, and rate sensitivity, which could temper buyer activity.” From 760. “The ” =4 ->764 “key ” =4 ->768 “risks ” =6 ->774 “are ” =4 ->778 “affordability, ” =? affordability13 + comma1 + space1 =15 ->793 “which ” =6 ->799 “channels ” =9 ->808 “demand ” =7 ->815 “to ” =3 ->818 “units, ” =7 ->825 “and ” =4 ->829 “rate ” =5 ->834 “sensitivity, ” =? sensitivity12? s e n s i t i v i t y =11? Wait sensitivity: s1 e2 n3 s4 i5 t6 i7 v8 i9 t10 y11. Actually 11. plus comma1=12, space1=13 ->847 “which ” =6 ->853 “could ” =6 ->859 “temper ” =7 ->866 “buyer ” =6 ->872 “activity.” =9 ->881. Total 881 characters. Under 900. Perfect. Need ensure no advisory language, no recommendations. Good. But check character count exactly? We measured 881. Need maybe include “central” instead of inner-urban? Fine. The paragraph covers: 1. Name and positioning: “Brisbane City QLD 4000 is an inner-urban high-density unit market; sparse detached housing data means house metrics reflect broader Brisbane.” 2. Who driving demand: “Investors and first-home buyers dominate, with investor finance at 41.1% and interstate migration from Sydney and Melbourne.” 3. Recent price trend: “Brisbane City units have risen 25%; Brisbane-wide unit medians are $770,471 (8.1% quarterly) and $844,844 (20.1% annually), while house prices are $1.17 million, up 4.5% quarterly and 15.7–16.7% annually.” 4. future growth drivers, key risks: “Vacancy … Supply … Cross River Rail … risks.” Potential issue: “Brisbane-wide unit medians are $770,471 and $844,844” – There are two different medians. Should we present as “range”? We wrote “medians are” with two figures, might be confusing. Better to say “unit medians range from … to …” That might be clearer. In our counted text, we have “medians are $770,471 (8.1% quarterly) and $844,844 (20.1% annually)” which implies two measures. Could use “range from $770,471 … to $844,844 …” slightly longer. Let’s see if we can edit without exceeding 900. Current text: “… Brisbane-wide unit medians are $770,471 (8.1% quarterly) and $844,844 (20.1% annually), while …” Replace with “range from $770,471 (8.1% quarterly) to $844,844 (20.1% annually), while” Let’s calculate difference. Original segment: “medians are $770,471 (8.1% quarterly) and $844,844 (20.1% annually), while” length? We can compare. Original: “medians are ” = 12? medians 7 + space1 + are3 + space1 =12. “range from ” = 11? range5 + space1 + from4 + space1 =11. So 1 char shorter. But we also need “to” instead of “and” after first parenthetical? Original has “and” between figures, new has “to” after parenthetical. Actually original: “$770,471 (8.1% quarterly) and $844,844 (20.1% annually)”. New: “$770,471 (8.1% quarterly) to $844,844 (20.1% annually)”. Original “and” after parenthesis (space+and+space =5). New “to” (space+to+space =4). So total 1+1? Let’s compute: “medians are” 12 vs “range from” 11 => -1. ” and ” 5 vs ” to ” 4 => -1. Total -2. So new text 879 chars. Good. Use “range from”. Let’s rewrite final paragraph with that: “… Brisbane-wide unit medians range from $770,471 (8.1% quarterly) to $844,844 (20.1% annually), while …” Need ensure count remains under 900. Yes 879. But let’s verify full text with that replacement. The previous total 881 -2 =879. Perfect. Also maybe “inner-urban” vs “central urban” acceptable. Need “suburb positioning” okay. “Investors and first-home buyers dominate” okay. “rate sensitivity” instead of borrowing costs. Fine. Need output exactly under 900, no headers. One paragraph. We’ll output the paragraph. Ensure no “advisory” or “prospective” etc. Good. Let’s produce final.Brisbane City QLD 4000 is an inner-urban high-density unit market; sparse detached housing data means house metrics reflect broader Brisbane. Investors and first-home buyers dominate, with investor finance at 41.1% and interstate migration from Sydney and Melbourne. Brisbane City units have risen 25%; Brisbane-wide unit medians range from $770,471 (8.1% quarterly) to $844,844 (20.1% annually), while house prices are $1.17 million, up 4.5% quarterly and 15.7–16.7% annually. Vacancy is 1.0%, heading to 0.7%; rents grow 6.2% for houses and 6.6% for units, with yields of 4.0% for units and 4.1–4.6% for houses. Supply is tight: new listings down 9.2% year-on-year and stock 29% below the five-year average. Cross River Rail opens in 2025, improving connectivity. The key risks are affordability, which channels demand to units, and rate sensitivity, which could temper buyer activity.