📈 IT salary movement
What is being advertised right now? We record the salary ranges PUBLISHED in job ads every day and show how they move. Every figure comes with its sample size.
Measuring since: 2026-07-26 · Last measured: 2026-10-05 · 72 days recorded · 99.8% of our salary data is not quoted in forint, so the forint figure also moves with the exchange rate. Base rate fixed on: 2026-07-26 · Currency effect since base: +3.4%
⏱️ Measurable time windows
We only report movement when there is something to compare against. For windows not yet available we state the date — we never fill the gap with an estimate.
How the median moved · Hungary · gross HUF/month
🎯 Where do you stand?
Enter your gross monthly pay and we show what share of advertised ranges you sit above. The amount never leaves your browser — the maths runs on your device; we neither see nor store it.
ℹ️ Approximate: we compare against the MIDPOINT of advertised ranges, not actually paid salaries. Bonus, equity and benefits are not included.
🌱 Fresh ads vs full stock
Pay levels in newly posted roles move before the long-standing stock — hence a leading indicator. A cross-sectional comparison within today's live stock.
🪜 By level
The career ladder: how much more the next step pays. Bars show the ratio of medians.
| Level | Range midpoint | Difference | Range floors – Range ceilings | Range width | Full field (p10–p90) | daily | weekly | monthly | yearly | sample |
|---|---|---|---|---|---|---|---|---|---|---|
| Senior | 1 975 000 | +19% | 1 700 000 – 2 250 000 | +32% | 1 655 115 – 2 211 305 | ±0 | ±0 | ±0 | · | 15 |
⚙️ By technology
Median per technology against the overall median — where the premium is.
| Technology | Range midpoint | Difference | Range floors – Range ceilings | Range width | Full field (p10–p90) | daily | weekly | monthly | yearly | sample |
|---|---|---|---|---|---|---|---|---|---|---|
| Python | 1 449 777 | -13% | 1 295 833 – 1 706 220 | +32% | 437 500 – 2 104 898 | ±0 | · | · | · | 18 |
🧩 By role
Median per role against the overall median.
Not enough data for this breakdown yet.
🏠 By work location
Remote or on-site — the difference in advertised ranges.
| By work location | Range midpoint | Difference | Range floors – Range ceilings | Range width | Full field (p10–p90) | daily | weekly | monthly | yearly | sample |
|---|---|---|---|---|---|---|---|---|---|---|
| On-site | 1 562 500 | -6% | 1 308 554 – 1 706 220 | +30% | 416 000 – 4 496 612 | ±0 | ▼14.0% | ▼18.5% | · | 50 |
🔓 Pay transparency
What share of ads publish a salary range at all. Our most reliable trend indicator: a ratio, so neither exchange rates nor sample mix can move it.
| Country | Publishes pay | With pay | Total ads | Range midpoint | daily | weekly | monthly | yearly |
|---|---|---|---|---|---|---|---|---|
| US | 71.1% | 13 137 | 18 464 | 5 129 045 | ▲2.39pp | ▼0.46pp | ▲2.24pp | · |
| SK | 66.1% | 119 | 180 | 1 338 956 | ±0 | ▲0.79pp | ▲3.38pp | · |
| LT | 64.0% | 105 | 164 | 2 026 528 | ▲1.83pp | ▼5.36pp | ▲4.71pp | · |
| CA | 51.3% | 724 | 1 410 | 3 991 908 | ▲0.67pp | ▲1.62pp | ▲6.12pp | · |
| EE | 47.2% | 51 | 108 | 2 098 904 | ±0 | ▼5.84pp | · | · |
| AT | 29.3% | 228 | 779 | 1 702 495 | ▲0.27pp | ▼1.06pp | ▼7.1pp | · |
| EU | 25.3% | 1 140 | 4 499 | 4 506 138 | ▲1.13pp | ▲0.57pp | ▲2.29pp | · |
| IT | 25.0% | 143 | 572 | 1 389 891 | ▲1.23pp | ▼1.86pp | ▼0.82pp | · |
| PL | 16.2% | 441 | 2 728 | 2 012 542 | ▲0.26pp | ▼0.42pp | ▼0.5pp | · |
| IE | 16.0% | 153 | 959 | 3 271 998 | ▲0.29pp | ▼2.46pp | ▼1.66pp | · |
| CZ | 13.9% | 45 | 323 | 1 998 415 | ▲0.41pp | ▲0.72pp | ▲0.82pp | · |
| GB | 13.5% | 598 | 4 419 | 3 598 913 | ▼1.27pp | ▼0.82pp | ▼1.38pp | · |
| DE | 11.3% | 1 608 | 14 281 | 2 110 967 | ±0 | ▼0.91pp | ▼2.0pp | · |
| NL | 11.3% | 144 | 1 279 | 2 110 967 | ▲0.31pp | ▼1.0pp | ▼0.1pp | · |
| PT | 11.1% | 139 | 1 254 | 1 884 792 | ▲0.33pp | ▼1.19pp | ▼1.25pp | · |
| ES | 10.0% | 210 | 2 099 | 2 412 533 | ▲0.06pp | ▼2.21pp | ▼3.39pp | · |
| CH | 9.7% | 39 | 403 | 3 050 680 | ±0 | ▼1.26pp | ▼2.35pp | · |
| FR | 7.5% | 218 | 2 906 | 1 839 557 | ▲0.17pp | ▼0.95pp | ▼0.62pp | · |
| HU | 7.1% | 58 | 821 | 1 662 644 | ±0 | ▲0.41pp | ▲1.39pp | · |
| SE | 0.8% | 44 | 5 247 | 2 555 166 | · | ▲0.06pp | ±0 | · |
⚖️ The EU pay transparency directive must be transposed by mid-2026; it requires the pay range to be disclosed up front in hiring. This table shows, day by day, where practice actually stands.
Barely more than 5% of Hungarian ads currently publish a range — among the lowest of the countries we measure.
📒 Measurement log
Raw figures for every measurement day, dated — so anyone can check what we claim above.
| Date | p10 | p25 | Median | p75 | p90 | Range floors | Range ceilings | Publishes pay | sample |
|---|---|---|---|---|---|---|---|---|---|
| 2026-10-05 | 431 050 | 884 375 | 1 662 644 | 2 153 550 | 4 442 343 | 1 400 098 | 1 828 454 | 7.1% | 58 |
| 2026-10-04 | 431 050 | 884 375 | 1 662 644 | 2 153 550 | 4 442 343 | 1 400 098 | 1 828 454 | 7.1% | 58 |
| 2026-10-03 | 437 500 | 912 500 | 1 708 252 | 2 177 615 | 4 457 849 | 1 477 671 | 1 995 188 | 6.8% | 56 |
| 2026-10-02 | 850 000 | 1 361 925 | 1 975 000 | 2 249 808 | 4 472 252 | 1 681 057 | 2 166 667 | 6.4% | 51 |
| 2026-10-01 | 850 000 | 1 314 417 | 1 975 000 | 2 256 106 | 4 460 316 | 1 690 529 | 2 187 500 | 6.2% | 48 |
| 2026-09-30 | 850 000 | 1 141 667 | 1 975 000 | 2 249 809 | 4 462 508 | 1 681 057 | 2 166 667 | 6.3% | 49 |
| 2026-09-29 | 850 000 | 1 199 250 | 1 975 000 | 2 249 808 | 4 471 278 | 1 681 057 | 2 166 667 | 6.5% | 50 |
| 2026-09-28 | 850 000 | 1 314 417 | 1 975 000 | 2 249 808 | 4 441 440 | 1 681 057 | 2 166 667 | 6.7% | 52 |
| 2026-09-27 | 850 000 | 1 141 667 | 1 975 000 | 2 249 809 | 4 449 110 | 1 700 000 | 2 208 333 | 6.3% | 49 |
| 2026-09-26 | 850 000 | 1 141 667 | 1 975 000 | 2 249 809 | 4 449 110 | 1 700 000 | 2 208 333 | 6.3% | 49 |
| 2026-09-25 | 850 000 | 1 295 000 | 1 975 000 | 2 289 245 | 4 459 707 | 1 700 000 | 2 250 000 | 6.1% | 48 |
| 2026-09-24 | 850 000 | 1 404 000 | 1 975 000 | 2 276 359 | 4 437 052 | 1 700 000 | 2 229 167 | 6.3% | 50 |
| 2026-09-23 | 875 000 | 1 500 000 | 1 975 000 | 2 279 167 | 4 404 044 | 1 700 000 | 2 250 000 | 6.0% | 48 |
| 2026-09-22 | 884 000 | 1 562 500 | 1 975 000 | 2 283 333 | 4 414 032 | 1 700 000 | 2 250 000 | 5.9% | 47 |
| 2026-09-21 | 894 250 | 1 500 000 | 1 975 000 | 2 275 438 | 4 429 281 | 1 700 000 | 2 250 000 | 6.4% | 52 |
| 2026-09-20 | 894 250 | 1 468 000 | 1 975 000 | 2 275 438 | 4 429 281 | 1 700 000 | 2 229 167 | 6.3% | 52 |
| 2026-09-19 | 894 250 | 1 468 000 | 1 975 000 | 2 275 438 | 4 429 281 | 1 700 000 | 2 229 167 | 6.3% | 52 |
| 2026-09-18 | 894 250 | 1 468 000 | 1 975 000 | 2 270 219 | 4 413 474 | 1 700 000 | 2 229 167 | 6.3% | 52 |
| 2026-09-17 | 894 250 | 1 468 000 | 1 975 000 | 2 275 703 | 4 431 348 | 1 700 000 | 2 229 167 | 6.3% | 52 |
| 2026-09-16 | 890 000 | 1 436 000 | 1 975 000 | 2 262 404 | 4 458 245 | 1 700 000 | 2 208 333 | 6.2% | 51 |
| 2026-09-15 | 888 500 | 1 500 000 | 1 975 000 | 2 268 702 | 4 449 719 | 1 700 000 | 2 229 167 | 6.1% | 50 |
| 2026-09-14 | 888 500 | 1 500 000 | 1 975 000 | 2 268 702 | 4 439 001 | 1 700 000 | 2 229 167 | 6.0% | 50 |
| 2026-09-13 | 890 000 | 1 500 000 | 1 975 000 | 2 276 406 | 4 439 001 | 1 700 000 | 2 250 000 | 6.2% | 51 |
| 2026-09-12 | 894 250 | 1 593 750 | 1 975 000 | 2 275 703 | 4 431 348 | 1 700 000 | 2 229 167 | 6.2% | 52 |
| 2026-09-11 | 890 000 | 1 625 000 | 1 975 000 | 2 277 344 | 4 442 655 | 1 700 000 | 2 208 333 | 6.2% | 51 |
| 2026-09-10 | 881 000 | 1 500 000 | 1 975 000 | 2 262 248 | 4 402 339 | 1 681 057 | 2 166 667 | 6.6% | 55 |
| 2026-09-09 | 875 000 | 1 500 000 | 1 975 000 | 2 268 468 | 4 409 982 | 1 690 529 | 2 166 667 | 6.5% | 54 |
| 2026-09-08 | 915 000 | 1 500 000 | 1 975 000 | 2 271 250 | 4 416 149 | 1 700 000 | 2 187 500 | 6.4% | 52 |
| 2026-09-07 | 915 000 | 1 500 000 | 1 975 000 | 2 271 625 | 4 417 122 | 1 700 000 | 2 187 500 | 6.4% | 52 |
| 2026-09-06 | 885 500 | 1 500 000 | 1 975 000 | 2 279 167 | 4 424 750 | 1 690 529 | 2 166 667 | 5.9% | 48 |
🔧 Exactly how we calculate
Every step from the raw ad to the figures above. If you would compute it differently, the raw snapshot is downloadable — redo the maths.
The formula
érték = (salary_min + salary_max) / 2 ← sáv-közép × periódus_szorzó ← yearly ÷12 · monthly ×1 · daily ×21 · hourly ×160 × árfolyam[currency] ← EKB középárfolyam, HUF-ra medián = percentile_cont(0.5) WITHIN GROUP (ORDER BY érték) transzp = n / total_n ← bért kiíró / összes aktív hirdetés
One ad yields one value. We take the range midpoint, convert the period to monthly, then to forint — in that order.
What the sample consists of
Exchange rates
Update schedule
Daily snapshot at 06:55 (after ad imports and location normalisation).
Raw data
The full daily snapshot — every breakdown and segment, including the rates used:
⬇ /salaries/data.jsonFree to use with attribution (CC BY 4.0).
What we exclude, and why
- ✕ Ads without pay — we do not estimate. They only appear in the transparency denominator.
- ✕ Pay without a period — we never guess yearly vs monthly. The ad then stays without pay.
- ✕ Plausibility filter: ranges that cannot be interpreted are skipped at import rather than transformed.
- ✕ Segments below 15 ads are not shown — both for noise and identifiability.
- ✕ Outliers are NOT trimmed or smoothed. Whatever passes the filter stays — p10–p90 shows the spread.
Definitions
- ›Median: PostgreSQL
percentile_cont(0.5)with linear interpolation — the true interpolated value, not the nearest item. - ›Range midpoint:
(min + max) / 2. Where only a floor exists, it is used for both ends. - ›median_fix: the same, but at the rate fixed on the base day — only this is valid for time-series comparison.
- ›Transparency rate:
n / total_n, where the denominator is all active ads in the segment, with and without pay.
⚠️ What this figure does NOT tell you
- •It measures advertised, not paid, salary. The two can differ in both directions.
- •It excludes bonus, equity, benefits and 13th month — ads rarely quantify these.
- •Not representative of the whole labour market: it measures what is advertised through our sources.
- •Figures are gross, and tax systems differ by country — net comparison needs a separate calculator.
🔬 How we measure
- • The headline figure is the MIDPOINT of the range — neither floor nor ceiling. Both ends are reported separately.
- • Since 99.8% of the data is quoted in foreign currency, every movement is reported twice: at a fixed rate (real market movement) and at the daily rate (forint value). The difference is the currency effect.
- • We only count what the employer published in the ad. We do not ask visitors for their salary, and we do not estimate.
- • Ranges in different currencies and periods (year/month/day/hour) are converted to gross HUF/month at the daily reference rate. We never guess the period: if the source does not state it, the ad stays without salary.
- • A segment appears only with at least 15 ads behind it. Regions are reported separately, because a single blended average would hide the differences.
- • Movement is computed from our own daily snapshots, not from ad posting dates — so the timing of our imports cannot distort the trend.
- • p10–p90 marks the bottom and top tenth of the field, p25–p75 the middle half. Outliers are neither trimmed nor smoothed — the distribution is shown as it is.
An indicative market picture of advertised salary ranges; not advice, and not a survey of actually paid salaries.
Detailed salary statistics →