The property market, in the institutions' own figures
The official figures for housing in Bulgaria.
The multiples and the years figure are our arithmetic, both from published numbers. The wage in them is the one before tax and contributions, as NSI publish it, and both it and the dwelling are country-wide averages rather than any particular buyer's arithmetic in any particular city. check 1 check 2 How, and why →
How it is worked out
The multiple is Eurostat's index divided by its 2015 level. The years figure is Eurostat's average transaction divided by twelve of NSI's published average monthly wages across all activities. The two files meet only here, in your browser, which is what keeps each of them one publisher's data. NSI's table measures employees under a labour contract, so the self-employed and company owners are not in that average. Take-home pay depends on the payroll table of the year that computed it, which would put a third body's law inside a two-publisher ratio.
The figures measure different things and do not point one way: we take no side, and nothing here adds up to a single score.
| Indicator | Against its own history | Now |
|---|---|---|
| the change in dwellings sold over one year Eurostat · Q1 2018 – Q2 2026 this exact figure ↗ | −28.3% +65.7% | −18.1% |
| transaction prices Eurostat · Q1 2005 – Q2 2026 this exact figure ↗ | ×0.8 ×2.8 | ×2.8 |
| transaction prices, with the rise in everything else taken out Eurostat · Q1 2005 – Q2 2026 this exact figure ↗ | ×1.0 ×1.7 | ×1.6 |
| the change in prices over one year Eurostat · Q1 2006 – Q2 2026 this exact figure ↗ | −26.8% +34.6% | +15.5% |
| share of people with heavy housing costs Eurostat · 2006 – 2025 this exact figure ↗ | 5.9% 21.2% | 6.9% |
A figure that only ever rises always sits at the right-hand end, and that is a property of the series itself, not a sign that something is happening now.
What the two links under every figure open
The first opens the publisher's own table. Our figure sits there beside every other measure in the same dataset (a count, an index, a quarterly and an annual rate), so the same country and quarter shows more than one number there. The second, “this exact figure”, returns exactly what is printed here and nothing else.
What it costs
How much transaction prices moved in a year.
| Type of dwelling | Eurostat Q2 2026 | NSI Q2 2026 |
|---|---|---|
| Total | +15.5% | +15.5% |
| Newly built | +12.3% | +12.3% |
| Existing | +17.6% | +17.6% |
Eurostat · Q2 2026 this exact figure ↗ · NSI · Q2 2026
How it is worked out
One figure reaches this page by two routes: NSI compile it and Eurostat disseminate it, so the table has two columns and a reader can see they agree. Neither is worked out here from the index. NSI have changed its base (the year set to 100), and a rate recomputed across the old base and the new one can differ from the published one in the last decimal.
The chart below measures something else: how many times higher prices are than one year taken as the yardstick. That year is 2015, and on the chart it is the ×1 line. It is the yardstick rather than the start of the record, which is why there are points below ×1 to the left of it: homes cost less then.
The two lines measure the same thing two ways. The solid one counts money: how many times more of it changes hands for a home. But money buys less of everything than it did; the dashed one takes exactly that out and answers the other question: have homes got dearer than everything else we buy.
The money paid for a home today is ×2.8 what it was in 2015. But everything else got dearer too, and measured against that a home is ×1.6 what it was. On that measure today's level is 3.4% below the highest Eurostat have recorded, in Q3 2008.
Eurostat · Q1 2005 – Q2 2026 this exact figure ↗ · Eurostat · Q1 2005 – Q2 2026 this exact figure ↗
Eurostat · Q1 2005 – Q2 2026 this exact figure ↗
read the numbers for all 86 quarters
| Period | Index | Rise taken out | Note |
|---|---|---|---|
| Q1 2005 | 76.0 | 105.5 | e |
| Q2 2005 | 79.3 | 104.2 | e |
| Q3 2005 | 81.6 | 105.9 | e |
| Q4 2005 | 83.5 | 108.0 | e |
| Q1 2006 | 87.5 | 117.7 | e |
| Q2 2006 | 88.9 | 114.7 | e |
| Q3 2006 | 93.0 | 117.3 | e |
| Q4 2006 | 98.1 | 125.8 | e |
| Q1 2007 | 107.2 | 131.8 | e |
| Q2 2007 | 113.0 | 136.6 | e |
| Q3 2007 | 121.4 | 140.7 | e |
| Q4 2007 | 132.1 | 153.8 | e |
| Q1 2008 | 141.1 | 165.6 | e |
| Q2 2008 | 149.4 | 162.2 | e |
| Q3 2008 | 153.9 | 170.2 | e |
| Q4 2008 | 147.5 | 163.9 | e |
| Q1 2009 | 130.8 | 146.8 | e |
| Q2 2009 | 118.2 | 130.0 | |
| Q3 2009 | 112.6 | 127.0 | |
| Q4 2009 | 109.6 | 120.1 | |
| Q1 2010 | 107.2 | 120.1 | |
| Q2 2010 | 106.5 | 116.8 | |
| Q3 2010 | 105.4 | 115.7 | |
| Q4 2010 | 104.2 | 110.1 | |
| Q1 2011 | 102.0 | 108.2 | |
| Q2 2011 | 100.2 | 103.6 | |
| Q3 2011 | 99.5 | 106.8 | |
| Q4 2011 | 98.1 | 102.5 | |
| Q1 2012 | 98.2 | 99.8 | |
| Q2 2012 | 98.7 | 99.3 | |
| Q3 2012 | 98.6 | 103.0 | |
| Q4 2012 | 96.8 | 99.2 | |
| Q1 2013 | 96.0 | 97.2 | |
| Q2 2013 | 96.5 | 98.8 | |
| Q3 2013 | 95.5 | 104.3 | |
| Q4 2013 | 95.7 | 98.1 | |
| Q1 2014 | 96.7 | 100.2 | |
| Q2 2014 | 97.0 | 101.7 | |
| Q3 2014 | 97.2 | 98.8 | |
| Q4 2014 | 98.3 | 98.2 | |
| Q1 2015 | 98.9 | 97.9 | b |
| Q2 2015 | 99.7 | 98.0 | |
| Q3 2015 | 99.2 | 102.1 | |
| Q4 2015 | 102.2 | 102.0 | |
| Q1 2016 | 103.4 | 101.6 | |
| Q2 2016 | 106.2 | 105.5 | |
| Q3 2016 | 107.9 | 105.7 | |
| Q4 2016 | 110.5 | 108.4 | |
| Q1 2017 | 112.7 | 108.7 | |
| Q2 2017 | 115.4 | 110.2 | |
| Q3 2017 | 117.6 | 109.5 | |
| Q4 2017 | 119.5 | 109.8 | |
| Q1 2018 | 120.7 | 111.6 | |
| Q2 2018 | 124.0 | 114.0 | |
| Q3 2018 | 125.0 | 114.1 | |
| Q4 2018 | 126.2 | 116.1 | |
| Q1 2019 | 129.5 | 114.6 | |
| Q2 2019 | 130.3 | 116.3 | |
| Q3 2019 | 132.0 | 119.2 | |
| Q4 2019 | 134.0 | 122.6 | |
| Q1 2020 | 135.5 | 121.0 | |
| Q2 2020 | 134.1 | 123.9 | |
| Q3 2020 | 138.8 | 117.0 | |
| Q4 2020 | 141.2 | 136.4 | |
| Q1 2021 | 145.7 | 125.5 | |
| Q2 2021 | 146.2 | 126.4 | |
| Q3 2021 | 150.9 | 128.2 | |
| Q4 2021 | 154.5 | 130.4 | |
| Q1 2022 | 162.5 | 125.2 | b |
| Q2 2022 | 167.6 | 129.6 | |
| Q3 2022 | 174.4 | 123.4 | |
| Q4 2022 | 175.1 | 124.6 | |
| Q1 2023 | 177.9 | 118.4 | |
| Q2 2023 | 185.5 | 120.1 | |
| Q3 2023 | 190.5 | 134.3 | |
| Q4 2023 | 192.8 | 134.7 | |
| Q1 2024 | 206.4 | 130.4 | |
| Q2 2024 | 213.5 | 136.1 | |
| Q3 2024 | 221.9 | 147.6 | |
| Q4 2024 | 228.0 | 149.3 | |
| Q1 2025 | 237.6 | 147.1 | |
| Q2 2025 | 246.7 | 154.9 | |
| Q3 2025 | 256.0 | 155.3 | |
| Q4 2025 | 256.7 | 159.4 | |
| Q1 2026 | 272.6 | 162.9 | |
| Q2 2026 | 284.8 | 164.4 | p |
The figures are as Eurostat publish them: an index with the average for 2015 written as 100; the chart above shows the same figures divided by that 100. The second column is divided by the national accounts deflator for household final consumption as well, a near relative of the inflation figure this site publishes rather than the same series. The notes are Eurostat's: b: measured a different way from here on · e: worked out rather than measured · p: not final yet
A shorter column above the zero line is a smaller rise, not a fall: prices fell only in the quarters whose column is below it.
Eurostat · Q1 2006 – Q2 2026 this exact figure ↗
read the numbers for all 82 quarters
| Period | Change |
|---|---|
| Q1 2006 | +15.0% |
| Q2 2006 | +12.2% |
| Q3 2006 | +14.0% |
| Q4 2006 | +17.5% |
| Q1 2007 | +22.6% |
| Q2 2007 | +27.1% |
| Q3 2007 | +30.6% |
| Q4 2007 | +34.6% |
| Q1 2008 | +31.6% |
| Q2 2008 | +32.2% |
| Q3 2008 | +26.8% |
| Q4 2008 | +11.7% |
| Q1 2009 | −7.3% |
| Q2 2009 | −20.9% |
| Q3 2009 | −26.8% |
| Q4 2009 | −25.7% |
| Q1 2010 | −18.0% |
| Q2 2010 | −9.9% |
| Q3 2010 | −6.4% |
| Q4 2010 | −5.0% |
| Q1 2011 | −4.8% |
| Q2 2011 | −5.9% |
| Q3 2011 | −5.5% |
| Q4 2011 | −5.8% |
| Q1 2012 | −3.7% |
| Q2 2012 | −1.6% |
| Q3 2012 | −1.0% |
| Q4 2012 | −1.3% |
| Q1 2013 | −2.3% |
| Q2 2013 | −2.2% |
| Q3 2013 | −3.1% |
| Q4 2013 | −1.2% |
| Q1 2014 | +0.7% |
| Q2 2014 | +0.5% |
| Q3 2014 | +1.7% |
| Q4 2014 | +2.8% |
| Q1 2015 | +2.3% |
| Q2 2015 | +2.8% |
| Q3 2015 | +2.1% |
| Q4 2015 | +4.0% |
| Q1 2016 | +4.6% |
| Q2 2016 | +6.5% |
| Q3 2016 | +8.8% |
| Q4 2016 | +8.1% |
| Q1 2017 | +9.0% |
| Q2 2017 | +8.6% |
| Q3 2017 | +9.0% |
| Q4 2017 | +8.2% |
| Q1 2018 | +7.1% |
| Q2 2018 | +7.5% |
| Q3 2018 | +6.3% |
| Q4 2018 | +5.5% |
| Q1 2019 | +7.3% |
| Q2 2019 | +5.0% |
| Q3 2019 | +5.6% |
| Q4 2019 | +6.2% |
| Q1 2020 | +4.7% |
| Q2 2020 | +2.9% |
| Q3 2020 | +5.2% |
| Q4 2020 | +5.4% |
| Q1 2021 | +7.5% |
| Q2 2021 | +9.1% |
| Q3 2021 | +8.7% |
| Q4 2021 | +9.4% |
| Q1 2022 | +11.5% |
| Q2 2022 | +14.6% |
| Q3 2022 | +15.6% |
| Q4 2022 | +13.4% |
| Q1 2023 | +9.5% |
| Q2 2023 | +10.7% |
| Q3 2023 | +9.2% |
| Q4 2023 | +10.1% |
| Q1 2024 | +16.0% |
| Q2 2024 | +15.1% |
| Q3 2024 | +16.5% |
| Q4 2024 | +18.3% |
| Q1 2025 | +15.1% |
| Q2 2025 | +15.5% |
| Q3 2025 | +15.4% |
| Q4 2025 | +12.6% |
| Q1 2026 | +14.8% |
| Q2 2026 | +15.5% |
The average deal
"Total paid" is the price of the dwellings themselves together with the land under them, VAT included on new builds; the notary, the agency commission and the bank fees sit outside it, so the average deal is what a home costs rather than what buying one costs.
| Type of dwelling | Average paid Q2 2026 | Total paid Q2 2026 | Dwellings sold Q2 2026 |
|---|---|---|---|
| Total | 84,139 € | 1,732,668,652 € | 20,593 |
| Newly built | 110,306 € | 704,853,953 € | 6,390 |
| Existing | 72,366 € | 1,027,814,699 € | 14,203 |
Eurostat · Q2 2026 this exact figure ↗
A dwelling changed hands for 84,139 € on average in the quarter: 110,306 € for a new build and 72,366 € for an existing dwelling. The two lines below are drawn on one scale.
Eurostat · Q1 2017 – Q2 2026 this exact figure ↗
read the numbers for all 38 quarters
| Period | New, average | Existing, average |
|---|---|---|
| Q1 2017 | 44,233 € | 26,656 € |
| Q2 2017 | 43,317 € | 27,654 € |
| Q3 2017 | 42,917 € | 26,096 € |
| Q4 2017 | 50,555 € | 28,773 € |
| Q1 2018 | 46,088 € | 27,989 € |
| Q2 2018 | 45,343 € | 29,484 € |
| Q3 2018 | 45,670 € | 28,253 € |
| Q4 2018 | 49,893 € | 30,282 € |
| Q1 2019 | 53,472 € | 30,503 € |
| Q2 2019 | 49,820 € | 31,840 € |
| Q3 2019 | 46,435 € | 31,046 € |
| Q4 2019 | 52,899 € | 33,480 € |
| Q1 2020 | 49,477 € | 34,117 € |
| Q2 2020 | 53,173 € | 32,060 € |
| Q3 2020 | 47,646 € | 30,222 € |
| Q4 2020 | 57,535 € | 34,239 € |
| Q1 2021 | 58,205 € | 34,967 € |
| Q2 2021 | 54,062 € | 37,611 € |
| Q3 2021 | 52,156 € | 35,767 € |
| Q4 2021 | 56,666 € | 38,423 € |
| Q1 2022 | 60,948 € | 38,759 € |
| Q2 2022 | 60,686 € | 40,451 € |
| Q3 2022 | 62,193 € | 37,763 € |
| Q4 2022 | 64,461 € | 43,304 € |
| Q1 2023 | 61,527 € | 40,889 € |
| Q2 2023 | 69,812 € | 44,901 € |
| Q3 2023 | 68,721 € | 40,992 € |
| Q4 2023 | 74,815 € | 44,949 € |
| Q1 2024 | 84,587 € | 50,317 € |
| Q2 2024 | 83,041 € | 52,009 € |
| Q3 2024 | 86,737 € | 49,740 € |
| Q4 2024 | 90,989 € | 55,251 € |
| Q1 2025 | 95,979 € | 60,220 € |
| Q2 2025 | 100,781 € | 61,359 € |
| Q3 2025 | 91,895 € | 60,009 € |
| Q4 2025 | 98,266 € | 64,047 € |
| Q1 2026 | 109,138 € | 70,426 € |
| Q2 2026 | 110,306 € | 72,366 € |
The average deal is our arithmetic: the total paid divided by the number of deals, €1,732,668,652 over 20,593 dwellings. It is a mean amount paid for a dwelling, not a price per square metre and not the middle price of the quarter's deals; the mix of flats and houses sold moves it. Eurostat are not responsible for the division or for conclusions drawn from it. check 1 check 2 How, and why →
How much changes hands
Eurostat count the dwellings households bought during the quarter, flats and houses, bought at a market price. Gifts, inheritances, discounted sales between relatives and anything built for oneself stay outside the count.
| Type of dwelling | Dwellings sold Q2 2026 | Against a year earlier Q2 2026 |
|---|---|---|
| Total | 20,593 | −18.1% |
| Newly built | 6,390 | −15.4% |
| Existing | 14,203 | −19.2% |
Eurostat · Q2 2026 this exact figure ↗
The columns alternate high and low every year because winter and summer are not traded alike.
Eurostat · Q1 2017 – Q2 2026 this exact figure ↗
read the numbers for all 38 quarters
| Period | Dwellings sold |
|---|---|
| Q1 2017 | 11,669 |
| Q2 2017 | 16,807 |
| Q3 2017 | 17,315 |
| Q4 2017 | 19,396 |
| Q1 2018 | 13,530 |
| Q2 2018 | 16,767 |
| Q3 2018 | 18,207 |
| Q4 2018 | 19,084 |
| Q1 2019 | 13,122 |
| Q2 2019 | 17,504 |
| Q3 2019 | 18,839 |
| Q4 2019 | 20,772 |
| Q1 2020 | 13,045 |
| Q2 2020 | 12,542 |
| Q3 2020 | 18,374 |
| Q4 2020 | 19,524 |
| Q1 2021 | 14,535 |
| Q2 2021 | 20,779 |
| Q3 2021 | 23,803 |
| Q4 2021 | 29,130 |
| Q1 2022 | 19,317 |
| Q2 2022 | 26,338 |
| Q3 2022 | 25,483 |
| Q4 2022 | 22,278 |
| Q1 2023 | 17,816 |
| Q2 2023 | 22,245 |
| Q3 2023 | 23,275 |
| Q4 2023 | 26,544 |
| Q1 2024 | 19,360 |
| Q2 2024 | 24,438 |
| Q3 2024 | 24,921 |
| Q4 2024 | 26,125 |
| Q1 2025 | 19,916 |
| Q2 2025 | 25,131 |
| Q3 2025 | 27,205 |
| Q4 2025 | 20,245 |
| Q1 2026 | 16,227 |
| Q2 2026 | 20,593 |
The year-on-year change is our arithmetic: this quarter's count against the same quarter a year earlier. Like quarters are compared rather than neighbouring ones: a summer-to-winter fall measures the calendar rather than the market. check How, and why →
The series' first point is the start of a record rather than a floor in the market: there were sales before it, just not in this table. Nor is this a count of all property sales: the land register also records land, garages, shops and offices, and so counts considerably more for the same quarter. The two measure different things and neither is wrong.
The two charts below are for the same quarters, and the bottom one is the same series drawn in full under what it costs, here only over the quarters that also have a count. Each keeps its own scale, so the two move by very different amounts.
dwellings sold, against the same quarter a year earlier
transaction prices, against the same quarter a year earlier
Eurostat · Q1 2018 – Q2 2026 this exact figure ↗ · Eurostat · Q1 2018 – Q2 2026 this exact figure ↗
read the numbers for all 34 quarters
| Period | Sales, change | Prices, change |
|---|---|---|
| Q1 2018 | +15.9% | +7.1% |
| Q2 2018 | −0.2% | +7.5% |
| Q3 2018 | +5.2% | +6.3% |
| Q4 2018 | −1.6% | +5.5% |
| Q1 2019 | −3.0% | +7.3% |
| Q2 2019 | +4.4% | +5.0% |
| Q3 2019 | +3.5% | +5.6% |
| Q4 2019 | +8.8% | +6.2% |
| Q1 2020 | −0.6% | +4.7% |
| Q2 2020 | −28.3% | +2.9% |
| Q3 2020 | −2.5% | +5.2% |
| Q4 2020 | −6.0% | +5.4% |
| Q1 2021 | +11.4% | +7.5% |
| Q2 2021 | +65.7% | +9.1% |
| Q3 2021 | +29.5% | +8.7% |
| Q4 2021 | +49.2% | +9.4% |
| Q1 2022 | +32.9% | +11.5% |
| Q2 2022 | +26.8% | +14.6% |
| Q3 2022 | +7.1% | +15.6% |
| Q4 2022 | −23.5% | +13.4% |
| Q1 2023 | −7.8% | +9.5% |
| Q2 2023 | −15.5% | +10.7% |
| Q3 2023 | −8.7% | +9.2% |
| Q4 2023 | +19.1% | +10.1% |
| Q1 2024 | +8.7% | +16.0% |
| Q2 2024 | +9.9% | +15.1% |
| Q3 2024 | +7.1% | +16.5% |
| Q4 2024 | −1.6% | +18.3% |
| Q1 2025 | +2.9% | +15.1% |
| Q2 2025 | +2.8% | +15.5% |
| Q3 2025 | +9.2% | +15.4% |
| Q4 2025 | −22.5% | +12.6% |
| Q1 2026 | −18.5% | +14.8% |
| Q2 2026 | −18.1% | +15.5% |
The top series is our arithmetic from the counts: each quarter against the same quarter a year earlier. The bottom one is the figure Eurostat publish and is not worked out here. The two measure different things and are drawn together so they can be seen together; nothing on this page claims that either one moves the other. check How, and why →
Prices and sales by city
NSI publish the same movement for the six cities over 120,000 people, and beside it how much the number of sales there changed.
| City | Transaction prices, against a year earlier Q2 2026 | Every quarter since Q1 2015 | Number of sales, against a year earlier Q2 2026 | The two, side by side prices sales |
|---|---|---|---|---|
| Sofia | +13.2% | −21.3% | ||
| Plovdiv | +11.3% | −3.3% | ||
| Varna | +14.3% | −21.9% | ||
| Burgas | +9.1% | −24.7% | ||
| Ruse | −0.8% | −7.7% | ||
| Stara Zagora | +15.7% | −15.0% |
The price changes are NSI's, from the house price index by city; the sales counts come from dwelling sales by city. Every value is a cell NSI published; nothing in this table is computed by us.
read the prices by city for all 46 quarters
| Period | Sofia | Plovdiv | Varna | Burgas | Ruse | Stara Zagora |
|---|---|---|---|---|---|---|
| Q1 2015 | +6.7% | +6.5% | +1.9% | +7.8% | +2.8% | +4.7% |
| Q2 2015 | +6.6% | +7.3% | +2.8% | +14.0% | +3.7% | +4.4% |
| Q3 2015 | +3.0% | +5.3% | +3.9% | +12.8% | +0.9% | +5.6% |
| Q4 2015 | +6.9% | +8.4% | +2.6% | +10.2% | +0.6% | +5.2% |
| Q1 2016 | +6.5% | +8.4% | +4.2% | +6.3% | −0.9% | +8.0% |
| Q2 2016 | +11.3% | +8.9% | +2.9% | +5.4% | +0.3% | +11.3% |
| Q3 2016 | +14.3% | +8.1% | +5.7% | +4.5% | +5.2% | +10.0% |
| Q4 2016 | +11.6% | +6.7% | +9.3% | +2.7% | +5.7% | +9.1% |
| Q1 2017 | +12.7% | +6.6% | +9.8% | +7.3% | +11.3% | +9.2% |
| Q2 2017 | +10.6% | +6.7% | +13.8% | +4.0% | +12.8% | +8.9% |
| Q3 2017 | +11.3% | +13.0% | +9.3% | +4.2% | +13.5% | +8.4% |
| Q4 2017 | +9.2% | +12.6% | +9.4% | +5.9% | +15.9% | +9.0% |
| Q1 2018 | +8.3% | +12.2% | +10.6% | −2.7% | +13.3% | +5.9% |
| Q2 2018 | +8.3% | +12.9% | +5.6% | +6.4% | +10.5% | +5.8% |
| Q3 2018 | +7.0% | +9.6% | +6.6% | +7.4% | +6.6% | +4.3% |
| Q4 2018 | +6.7% | +9.6% | +4.3% | +6.3% | +4.1% | +5.9% |
| Q1 2019 | +9.6% | +7.1% | +4.1% | +8.1% | +3.3% | +4.4% |
| Q2 2019 | +5.9% | +9.0% | +6.0% | +0.8% | +4.6% | +5.1% |
| Q3 2019 | +6.8% | +12.3% | +6.5% | −1.6% | +4.8% | +5.4% |
| Q4 2019 | +8.0% | +9.6% | +7.2% | +0.4% | +4.8% | +5.2% |
| Q1 2020 | +6.1% | +8.3% | +4.5% | +3.2% | +4.3% | +6.5% |
| Q2 2020 | +3.8% | +2.0% | −0.5% | +5.6% | +1.1% | +3.4% |
| Q3 2020 | +8.6% | +0.1% | −1.2% | +7.4% | +5.4% | +5.3% |
| Q4 2020 | +8.6% | +3.2% | −2.2% | +5.9% | +4.9% | +5.2% |
| Q1 2021 | +11.6% | +4.3% | −0.4% | +4.9% | +5.3% | +7.0% |
| Q2 2021 | +11.9% | +8.1% | +7.5% | +4.3% | +8.4% | +8.1% |
| Q3 2021 | +9.9% | +9.2% | +8.9% | +7.3% | +6.1% | +7.3% |
| Q4 2021 | +9.1% | +9.5% | +10.8% | +9.0% | +8.8% | +8.8% |
| Q1 2022 | +11.9% | +11.5% | +13.2% | +11.1% | +15.5% | +6.2% |
| Q2 2022 | +17.3% | +8.6% | +7.9% | +14.9% | +23.3% | +12.6% |
| Q3 2022 | +18.6% | +12.1% | +12.8% | +12.3% | +12.9% | +11.1% |
| Q4 2022 | +14.1% | +9.0% | +12.8% | +14.5% | +11.2% | +15.3% |
| Q1 2023 | +7.2% | +9.6% | +11.1% | +19.5% | +10.3% | +16.4% |
| Q2 2023 | +8.8% | +17.6% | +20.3% | +12.7% | +2.1% | +7.2% |
| Q3 2023 | +7.0% | +8.1% | +16.2% | +15.6% | +20.0% | +4.6% |
| Q4 2023 | +9.7% | +7.3% | +15.7% | +17.3% | +18.1% | +5.3% |
| Q1 2024 | +18.2% | +7.7% | +23.6% | +12.3% | +9.2% | +8.8% |
| Q2 2024 | +16.0% | +6.2% | +15.9% | +16.7% | +22.1% | +11.0% |
| Q3 2024 | +17.7% | +11.4% | +18.1% | +17.0% | +5.8% | +18.6% |
| Q4 2024 | +20.5% | +18.6% | +22.0% | +11.6% | +14.1% | +14.5% |
| Q1 2025 | +14.1% | +17.9% | +18.4% | +10.6% | +25.4% | +13.3% |
| Q2 2025 | +16.3% | +15.7% | +19.0% | +14.2% | +7.4% | +13.7% |
| Q3 2025 | +16.2% | +13.5% | +18.9% | +9.9% | +14.7% | +16.8% |
| Q4 2025 | +12.7% | +8.6% | +15.1% | +13.1% | +4.4% | +19.8% |
| Q1 2026 | +16.0% | +8.8% | +13.2% | +17.7% | −5.8% | +12.7% |
| Q2 2026 | +13.2% | +11.3% | +14.3% | +9.1% | −0.8% | +15.7% |
read the sales counts by city for all 18 quarters
| Period | Sofia | Plovdiv | Varna | Burgas | Ruse | Stara Zagora |
|---|---|---|---|---|---|---|
| Q1 2022 | +6.4% | −6.0% | +54.4% | +19.9% | +30.2% | +38.7% |
| Q2 2022 | +8.1% | +2.9% | +19.0% | +15.3% | +6.6% | −5.8% |
| Q3 2022 | −9.6% | −2.9% | +0.1% | −21.3% | −2.5% | −21.7% |
| Q4 2022 | −20.1% | −26.1% | −19.9% | −21.4% | −33.6% | −40.9% |
| Q1 2023 | −10.9% | −11.4% | −25.4% | −21.2% | −25.8% | −32.9% |
| Q2 2023 | −14.6% | −17.3% | −9.5% | −26.5% | −22.7% | −19.3% |
| Q3 2023 | −9.9% | −16.4% | −12.2% | −5.5% | −22.0% | −15.8% |
| Q4 2023 | +9.5% | +27.1% | +4.7% | +10.2% | +8.6% | +12.6% |
| Q1 2024 | +24.9% | +19.9% | +15.3% | +28.5% | +4.8% | +1.6% |
| Q2 2024 | +15.2% | +3.4% | −1.9% | +76.8% | −3.7% | +15.2% |
| Q3 2024 | +20.6% | +21.3% | +0.5% | +16.5% | −7.8% | +20.0% |
| Q4 2024 | +3.0% | −12.0% | −7.9% | +8.0% | +3.0% | +3.6% |
| Q1 2025 | +11.0% | −0.9% | −4.4% | +9.7% | +8.6% | +12.8% |
| Q2 2025 | +7.2% | +3.7% | −3.0% | −24.4% | +15.2% | +2.1% |
| Q3 2025 | +6.3% | +9.1% | +14.9% | +14.4% | +37.2% | +19.2% |
| Q4 2025 | −24.6% | +12.0% | −15.1% | −24.7% | −15.6% | −32.8% |
| Q1 2026 | −19.2% | −0.6% | −27.6% | −30.5% | −13.0% | −24.9% |
| Q2 2026 | −21.3% | −3.3% | −21.9% | −24.7% | −7.7% | −15.0% |
An asking price and a paid price are different things. Asking prices per m² by city come from imot.bg and are in the calculator and in the section below; the figures here are transaction figures and come from Eurostat. Nobody publishes a transaction price per square metre for an individual Bulgarian city, which is why there is no such table here.
How many years of pay a home costs, city by city
The longest is not Sofia but Varna: 11.0 years of pay against 9.7 in the capital. Another 5 cities take longer than Sofia does.
"11.0 years" means: that many years of the whole wage, down to the last euro, going to the home. We take what a 70 m² home costs at the city's average asking price and divide by the average wage for the oblast, after contributions and tax. The figure is not a budget, it is a yardstick for comparing cities.
Since 2020 a home has grown dearer against pay in 21 of 25 cities. Most of all: Gabrovo +45.7%, Vratsa +43.1%, Kyustendil +40.4%. In Sofia the change is +7.7%, and in half of them it is above +9.4%.
| City | Years of pay, 2020 | Years of pay, 2026 | Change |
|---|---|---|---|
| Varna | 10.3 | 11.0 | +6.9% |
| Shumen | 8.9 | 10.2 | +14.5% |
| Veliko Tarnovo | 9.5 | 10.1 | +6.4% |
| Burgas | 8.6 | 9.9 | +14.4% |
| Montana | 7.6 | 9.8 | +29.1% |
| Yambol | 7.0 | 9.7 | +37.7% |
| Sofia | 9.0 | 9.7 | +7.7% |
| Plovdiv | 9.3 | 9.4 | +1.2% |
| Pernik | 8.3 | 9.1 | +8.7% |
| Pleven | 9.3 | 8.9 | −4.0% |
| Razgrad | 8.1 | 8.9 | +9.4% |
| Ruse | 8.5 | 8.5 | 0.0% |
| Blagoevgrad | 8.8 | 8.3 | −5.6% |
| Haskovo | 8.2 | 8.1 | −1.6% |
| Targovishte | 7.2 | 8.0 | +11.0% |
| Vratsa | 5.6 | 7.9 | +43.1% |
| Sliven | 7.9 | 7.9 | +0.6% |
| Kyustendil | 5.6 | 7.9 | +40.4% |
| Stara Zagora | 6.9 | 7.8 | +12.9% |
| Kardzhali | 6.8 | 7.4 | +8.1% |
| Dobrich | 6.2 | 7.3 | +17.8% |
| Gabrovo | 4.9 | 7.2 | +45.7% |
| Lovech | 5.7 | 7.0 | +23.6% |
| Vidin | 5.4 | 6.9 | +26.9% |
| Pazardzhik | 6.4 | 6.9 | +7.5% |
Our arithmetic over two published figures. The prices are the average asking prices per m² by district from imot.bg, and the wages are the average gross wage by oblast as NSI publish it for Q2 2026 and for the same quarter of every earlier year. Neither of the two published figures is altered.
read all 7 years for every city
| City | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 |
|---|---|---|---|---|---|---|---|
| Varna | 10.3 | 9.7 | 10.4 | 11.0 | 11.8 | 12.0 | 11.0 |
| Shumen | 8.9 | 9.0 | 10.3 | 10.9 | 10.0 | 9.7 | 10.2 |
| Veliko Tarnovo | 9.5 | 8.9 | 10.9 | 10.6 | 9.5 | 9.6 | 10.1 |
| Burgas | 8.6 | 8.5 | 10.4 | 9.8 | 9.7 | 10.6 | 9.9 |
| Montana | 7.6 | 7.3 | 8.9 | 10.0 | 9.7 | 10.1 | 9.8 |
| Yambol | 7.0 | 6.1 | 8.8 | 9.3 | 8.9 | 10.2 | 9.7 |
| Sofia | 9.0 | 9.2 | 9.5 | 9.6 | 9.6 | 10.0 | 9.7 |
| Plovdiv | 9.3 | 9.6 | 10.0 | 9.8 | 9.3 | 9.7 | 9.4 |
| Pernik | 8.3 | 8.9 | 8.6 | 10.0 | 8.3 | 9.1 | 9.1 |
| Pleven | 9.3 | 9.1 | 10.3 | 9.7 | 9.1 | 9.1 | 8.9 |
| Razgrad | 8.1 | 7.4 | 9.5 | 10.7 | 9.8 | 9.5 | 8.9 |
| Ruse | 8.5 | 8.3 | 9.7 | 8.8 | 8.6 | 8.9 | 8.5 |
| Blagoevgrad | 8.8 | 8.5 | 9.9 | 10.0 | 8.7 | 8.5 | 8.3 |
| Haskovo | 8.2 | 7.9 | 8.7 | 9.3 | 7.7 | 8.1 | 8.1 |
| Targovishte | 7.2 | 7.0 | 9.7 | 8.9 | 8.5 | 8.3 | 8.0 |
| Vratsa | 5.6 | 5.9 | 6.7 | 7.0 | 7.5 | 8.5 | 7.9 |
| Sliven | 7.9 | 7.2 | 8.1 | 8.7 | 7.9 | 8.1 | 7.9 |
| Kyustendil | 5.6 | 7.7 | 7.8 | 6.7 | 7.6 | 8.1 | 7.9 |
| Stara Zagora | 6.9 | 7.2 | 8.7 | 7.3 | 7.5 | 8.1 | 7.8 |
| Kardzhali | 6.8 | 5.8 | 7.7 | 7.2 | 7.2 | 7.0 | 7.4 |
| Dobrich | 6.2 | 6.2 | 6.9 | 7.1 | 6.5 | 7.3 | 7.3 |
| Gabrovo | 4.9 | 4.9 | 5.5 | 6.0 | 5.9 | 7.2 | 7.2 |
| Lovech | 5.7 | 5.7 | 6.7 | 6.4 | 7.4 | 7.1 | 7.0 |
| Vidin | 5.4 | 5.5 | 6.3 | 6.9 | 7.3 | 7.4 | 6.9 |
| Pazardzhik | 6.4 | 6.6 | 7.5 | 7.6 | 7.1 | 7.1 | 6.9 |
How it is worked out
NSI publish an average wage by oblast rather than by city. The same quarter is taken for every year: Q2 2026 and that quarter in each earlier year. Wages rise through the year, so a comparison across different quarters would partly measure the calendar.
An asking price and a paid price are different things: these are the asking ones. The wage is the average for the whole oblast rather than for the city itself. Between the two years the figures do not move in a straight line: every year is in the table above.
Silistra, Sofia oblast, and Smolyan are not in the table: imot.bg publish no price for 2020 to compare today's with.
Who borrows
The figures are on one and the same base: owners and renters make a hundred.
How it is worked out
Every year a part of the country's households answer the same survey. Among the rest they are asked what the home they are in is: theirs and paid off, theirs but with a loan on it, or rented. Eurostat publish the result. The shares are of the people living in private households: the survey does not reach care homes, halls of residence and other collective households.
| How people live | Share of people 2025 |
|---|---|
| In a home they own | 86.1% |
| of them with a loan on it | 1.7% |
| of them with no loan | 84.4% |
| Renting | 13.9% |
| of them at the market price | 2.2% |
| of them at a reduced rent or none | 11.7% |
Eurostat · 2025 this exact figure ↗
That row looks impossibly small and it is not wrong. It counts people rather than purchases: how many of those living in the country have a loan on their home, children and pensioners included. New lending is a different thing, a flow of how many contracts are signed in a year, and the two can move in opposite directions for years.
For the people in the last three rows the price of housing is the rent. It is measured every month rather than every quarter: for August 2026 rents are +7.1% against the same month a year earlier. That is the price of renting rather than the price of a home, and it covers every rent actually paid in the country.
How much of the money is borrowed
It is measured two ways and the two do not give one figure. One line is the growth in the banks' housing loans: what was lent less what was repaid. The other is only what was lent on new home loans, with the repriced old ones taken out. The true figure is between the two.
How it is worked out
Every figure is for a whole year and the whole country. Both lines are divided by the same thing: what households paid for dwellings over the four quarters of that year. The growth line divides the difference between the banks' housing loans at the end of the year and at the end of the one before; the lending line divides what was lent on new home loans during the year. A year that is not full yet is not shown: payments for three quarters against lending for twelve months give a figure wrong by exactly the missing quarter. The current year goes in once all three institutions have published it in full.
Below zero the banks' housing loans shrank over the year: more was repaid than was lent.
what part of the money paid for dwellings comes from a bank loan
Eurostat · 2015 – 2025 this exact figure ↗ · BNB · 2015 – 2025 · ECB MIR · 2020 – 2025
read the numbers for all 11 years
| Period | Growth in lending | Lent on new loans |
|---|---|---|
| 2015 | −20.3% | — |
| 2016 | 8.8% | — |
| 2017 | 22.0% | — |
| 2018 | 25.2% | — |
| 2019 | 31.6% | — |
| 2020 | 26.9% | 53.3% |
| 2021 | 29.3% | 52.1% |
| 2022 | 30.8% | 54.6% |
| 2023 | 44.4% | 64.0% |
| 2024 | 47.3% | 71.1% |
| 2025 | 55.7% | 78.4% |
Both lines are our arithmetic: the lending is the BNB's and the ECB's, and what was paid for dwellings, which we divide it by, is Eurostat's. The ECB amounts before January 2026 are in leva and are converted at the official rate before the division. Eurostat are not responsible for the division or for conclusions drawn from it. check 1 check 2 check 3 check 4 How, and why →
A housing loan is also taken out for a renovation, for a plot or to build a house of one's own, and Eurostat count only the dwellings that were bought.
What part of those loans carry a floating rate is on the borrowing page.
What the census counted
The other figures on this page are measured every quarter or every year and are replaced by the next edition. This is a count: taken once, and not updated until the next census, the last of which was 2021.
"Unoccupied" means the dwelling was nobody's permanent home at the time of the census. Who slept there is not the test, so holiday homes, second homes and the homes of people abroad are all inside it, not only the genuinely empty ones.
How it is worked out
The census is the only time anybody counts every dwelling there is. “Dwelling” here is a flat or a house with its own entrance; care homes for the elderly, boarding schools, monasteries and prisons are described separately as “collective dwellings” and are not in this table.
| Dwellings | How many 2021 |
|---|---|
| All dwellings | 4,258,585 |
| Occupied | 2,600,911 |
| Unoccupied | 1,657,674 |
| Share unoccupied | 38.9% |
Eurostat · 2021 this exact figure ↗
occupied 2,600,911 unoccupied 1,657,674
The share is our arithmetic: unoccupied dwellings over all the dwellings from the same census: 1,657,674 over 4,258,585. Both counts are in the table above. check How, and why →
Expensive against incomes?
The figure below does not measure what one home costs: it counts the people who spend more than 40% of their household's disposable income on housing.
The figure divides one thing by another: what housing costs, and the household's disposable income. A bar falls when housing takes a smaller share of that income, and that happens while the bills themselves are going up, so long as income goes up faster than they do.
"Housing costs" here is everything around the home: electricity, heating, water, maintenance, insurance and tax; rent for tenants, and for owners with a loan the interest alone, never the capital. The percentage is a share of people rather than of households: it counts everyone living in a household over the line, out of the people in private households, and for 2025 that is 6.9%. Most people here live in a home they own outright, so this series moves with those bills rather than with transaction prices.
share of people spending over 40% of their disposable income on housing
Eurostat · 2006 – 2025 this exact figure ↗
read the numbers for all 20 years
| Period | Share |
|---|---|
| 2006 | 15.4% |
| 2007 | 21.2% |
| 2008 | 13.3% |
| 2009 | 7.0% |
| 2010 | 5.9% |
| 2011 | 8.7% |
| 2012 | 14.5% |
| 2013 | 14.3% |
| 2014 | 12.9% |
| 2015 | 14.8% |
| 2016 | 20.7% |
| 2017 | 18.9% |
| 2018 | 17.9% |
| 2019 | 16.0% |
| 2020 | 14.4% |
| 2021 | 11.6% |
| 2022 | 15.1% |
| 2023 | 11.1% |
| 2024 | 8.0% |
| 2025 | 6.9% |
How everything else on the site is worked out is on the numbers page, and your own arithmetic is in the calculator.