A map of relative hourly private tutoring costs across metros, with Yogyakarta as the base 100 anchor.
Hourly private tutoring costs across Indonesia in the second half of 2026 vary by city, tracking local cost of living and regional wages. With Yogyakarta set as base 100, the Greater Jakarta corridor holds the highest index at roughly 1.7 to 1.8 times the base, large non-capital cities range from 1.3 to 1.5 times, and student cities hold near the base. This report presents indexed ratios in place of absolute rates.
Private tutoring cost is no single number that holds the same everywhere. It moves with a city's cost of living, its regional wage structure, and the depth of the local tutor pool. This report maps that gap as a relative index, with Yogyakarta set as base 100. The base falls on Yogyakarta because the city is known as an education hub with a thick pool of campus-trained tutors and a moderate cost of living, making it a clean point of comparison.
In the second half of 2026, the index map reveals three clear layers. The Greater Jakarta corridor sits at the top, roughly 1.7 to 1.8 times the base, matching Jakarta household consumption recorded as the highest nationally in the 2022 Cost of Living Survey. Large non-capital cities such as Surabaya, Bandung, Medan, and Denpasar cluster within a range of 1.3 to 1.5 times. Student cities and regional cities hold near the base, making them the most affordable choice for families.
Two public measures drive that gap. First, the cost of living, reflected in household consumption and the consumer price index across regions. Second, the provincial minimum wage, whose range is wide: Jakarta's 2025 minimum wage is about 2.4 times Yogyakarta's. Both factors seep into tutoring rates through tutors' living costs and family purchasing power in each city.
Online learning reshapes this equation. When sessions move to the screen, physical distance fades and the cost gap across cities compresses, because families in cities with a thin tutor pool can reach tutors from a deeper corridor. National internet penetration reaching 79.5 percent in 2024 gives this equalizing mechanism room to grow.
All internal cost figures appear as relative indices to preserve confidentiality, while factual claims rest on official BPS, Kemnaker, and APJII sources. This report is a snapshot of the second half of 2026; a later edition will widen the time window so that movement across semesters becomes readable.
Private tutoring costs shift from one city to another because cost of living, regional wages, and tutor supply are uneven. A relative index helps read that gap honestly.
The same lesson hour can carry a different price in Jakarta and in Yogyakarta. That difference is no accident. Private tutoring cost reflects the economic landscape where it is delivered: how expensive it is to live in that city, how large the prevailing wage is, and how deep the available tutor pool runs. When these three shift across regions, rates shift with them.
Families who move cities, or who compare learning options across regions, often find this gap confusing. Without a clear frame, raw figures across cities are hard to compare fairly. This report offers that frame through a relative index, a way of reading cost that ties every city to one shared base point.
The focus of this report is the hourly private tutoring cost across metros in the second half of 2026, presented as ratios between cities. Sensitive absolute figures are not shown. What is mapped is the structure and direction of cost, so that families, tutors, and policymakers can read market patterns without being trapped by a single number.
The scope covers large and mid-sized cities across Indonesia, with Yogyakarta as the comparison base. Every internal cost index appears indexed, as a ratio to the base. Absolute amounts stay out of view. External facts on cost of living, wages, and family spending are cited from official sources and clearly marked.
The tutoring cost index is built by setting Yogyakarta as base 100, then tying each other city to a ratio aligned with its cost of living and regional wage.
An index needs a clear zero point. Yogyakarta is chosen as base 100 for three reasons. It is an education hub with a thick pool of campus-trained tutors, its cost of living is moderate among large cities, and its learning demand is mature and steady through the year. Together these make Yogyakarta a clean and easily understood point of comparison.
From that base, each city is tied to a ratio aligned with two public cost markers: household consumption from the Cost of Living Survey and the provincial minimum wage. This ratio is compressed, because tutoring rates move more gently than raw cost-of-living gaps. In other words, a city whose cost of living is twice the base does not automatically carry twice the tutoring cost, but rather about 1.7 to 1.8 times.
Every index value is relative to the base 100. No rupiah rate is shown. EduPoint's internal cost figures are converted into ratios, while public measures such as minimum wages and household consumption are presented as they appear in official sources, with clear source markers.
Source: EduPoint internal analysis (indexed); BPS, CPI Weighting Diagram from the 2022 Cost of Living Survey; Kemnaker, Ministerial Regulation No. 16 of 2024.
Household consumption across cities shows Jakarta as the city with the highest cost of living, followed by satellite cities and large metros, a pattern that forms the foundation of tutoring cost gaps.
The first foundation of tutoring cost gaps is a city's cost of living. The 2022 Cost of Living Survey, conducted by Statistics Indonesia across 150 regencies and cities, maps household consumption between regions. Its results place Jakarta as the city with the largest household consumption, about Rp14.88 million per month, the highest in Indonesia.
| City | Monthly consumption |
|---|---|
| Jakarta | ± Rp14.88 million |
| Bekasi | ± Rp14.34 million |
| Surabaya | ± Rp13.36 million |
| Depok | ± Rp12.35 million |
This map explains why the Greater Jakarta corridor sits at the top of the tutoring cost index. Jakarta, Bekasi, and Depok stand side by side at the highest consumption layer, while Surabaya, the second-largest metro, follows closely. Tutors' living costs in these cities run higher, and tutoring rates adjust to that reality.
Cities outside the metropolitan corridor record lower household consumption, and tutors' living costs are lighter as well. Yogyakarta, with its moderate cost of living, holds a comfortable base position to serve as the index anchor. This gap in consumption across cities is the first layer that shapes the tutoring cost ratio.
Source: BPS, CPI Weighting Diagram from the 2022 Cost of Living Survey; EduPoint internal analysis (indexed).
The provincial minimum wage moves widely across regions, from Jakarta at the top to Central Java at the bottom, and this gap is a strong marker of tutoring cost differences across cities.
The second foundation is regional wages. The provincial minimum wage serves as a practical marker of a region's cost of living and purchasing power. Through Manpower Ministerial Regulation No. 16 of 2024, the 2025 provincial minimum wage was set to rise by an average of 6.5 percent nationally, with a wide range across provinces.
Relative index computed from the 2025 provincial minimum wage, base DI Yogyakarta = 100. Wage figures are public (Kemnaker); the index shows ratios across provinces while tutoring rates stay indexed.
Jakarta sits at the top with a 2025 minimum wage of Rp5,396,761, the highest nationally. DI Yogyakarta stands at Rp2,264,081, while Central Java is the lowest at about Rp2.17 million. With Yogyakarta as the base, Jakarta's wage equals about 2.4 times the base, a wide range that holds steady year after year.
This wage gap seeps into tutoring cost through two channels. For tutors, a higher regional wage calls for compensation that covers the local cost of living. For families, differing purchasing power forms a differing ceiling. The tutoring cost index compresses that wide wage gap into a gentler range, yet its direction still aligns.
Source: Kemnaker, Ministerial Regulation No. 16 of 2024 on the 2025 Minimum Wage; EduPoint internal analysis (indexed).
The hourly tutoring cost index peaks in Jakarta and its satellite cities at roughly 1.7 to 1.8 times the Yogyakarta base, while student cities hold near the base.
Combining cost of living and regional wages yields the tutoring cost index map across metros. Jakarta sits at the top, about 1.78 times the Yogyakarta base, followed by the Greater Jakarta satellite cities clustering closely behind. Large non-capital metros fill the middle layer, while student cities and regional cities hold near the base.
Relative index to the Yogyakarta base = 100. Not rupiah rates; absolute figures are not shown. Ratios aligned with city cost of living (BPS 2022 Cost of Living Survey) and regional wages (2025 minimum wage).
The pattern reads clearly. The Greater Jakarta corridor, represented by Jakarta, Tangerang, and Bekasi, occupies the range of 1.65 to 1.78 times the base. Denpasar and Balikpapan rise higher than expected because their cost of living is lifted by tourism and the energy sector. Bandung, Medan, and Makassar fill the 1.27 to 1.37 layer, while Semarang and Yogyakarta close the map at the most affordable level.
This index depicts the national market structure as a whole, describing the market at large while one particular service point stays out of view. Its values are relative to the base, aligned with cost-of-living and wage markers to stay free of sample distortion. Cities with thin supporting data are not shown, to preserve representativeness.
Source: EduPoint internal analysis (indexed), aligned with BPS 2022 Cost of Living Survey and 2025 minimum wage.
Indonesian cities group into four layers of tutoring cost, from the core metropolis to the base student city, each with its own distinctive index range.
Reading the index city by city is useful, yet grouping cities into cost layers clarifies the pattern. Indonesian cities occupy four distinctive layers, each driven by a different combination of cost of living, wages, and tutor supply depth.
Average relative index per layer, base Yogyakarta = 100. Absolute figures are not shown; layers are drawn from the metro cost index map.
The first layer, the core metropolis, is led by Greater Jakarta with an average index of about 168. The highest cost of living and a dense, differentiated demand lift this layer above the rest. The second layer, large non-capital cities such as Surabaya, Bandung, Medan, Makassar, and Denpasar, clusters around 140.
The third layer, mid-sized and regional cities such as Semarang, Palembang, and Malang, sits around 122. The fourth layer, student cities represented by Yogyakarta together with Surakarta, forms the base 100. The depth of campus-trained tutors in this layer keeps cost affordable even as learning demand runs high.
Source: EduPoint internal analysis (indexed); BPS 2022 Cost of Living Survey; 2025 minimum wage.
Household education spending climbs sharply by level, placing tutoring cost within a family's increasingly careful calculation in every city.
The tutoring cost index does not stand alone; it competes with other education spending in a family budget. Statistics Indonesia data through the 2024 Social, Cultural, and Education Module of the National Socioeconomic Survey shows household education spending climbing sharply as the level rises.
| Level | Average per year |
|---|---|
| Primary school | ± Rp4.6 million |
| Junior high school | ± Rp7.3 million |
| Senior high school | ± Rp10.2 million |
| Higher education | ± Rp19.0 million |
This climbing burden shapes a different cost sensitivity in each city. In cities with a high tutoring cost index, the added cost of support feels heavier within an already tight budget. Families weigh every rupiah, and affordability becomes a consideration as important as quality.
In a base city such as Yogyakarta, affordable tutoring gives a family budget more room to breathe. This is one reason student cities draw families from other regions seeking quality support at a more manageable cost, whether through in-person or online classes.
Source: BPS, Education Support Statistics 2024 (Susenas MSBP); EduPoint internal analysis (indexed).
Four factors drive the tutoring cost gap across cities: cost of living, tutor supply depth, travel cost, and demand composition.
Beneath the index map works a set of location multipliers. Understanding all four helps read why two cities of similar size can occupy different index positions.
The strongest factor is a city's cost of living. A tutor living in a city with expensive rent, transport, and daily needs requires compensation that covers those costs. Jakarta's highest-in-the-nation household consumption explains much of the Greater Jakarta corridor's top position.
The second factor is supply depth. In student cities with a thick pool of undergraduates and campus alumni, the availability of tutors holds cost down. Yogyakarta and Surakarta show this effect, where abundant supply keeps rates affordable even as demand runs high.
The third factor is travel cost in in-person sessions. In sprawling metros with heavy congestion, a tutor's time and travel expense to reach the student's home also shape the cost. This is the factor most trimmed by online classes.
The fourth factor is demand composition. A city whose demand leans toward advanced test preparation, specialized skills, or international curricula tends to carry a higher index, because the expertise sought is more specific and scarce.
Source: EduPoint internal analysis (indexed); BPS 2022 Cost of Living Survey; PDDikti, Higher Education Statistics 2025.
Online learning trims travel cost and opens access to tutors across cities, compressing the tutoring cost gap between regions.
The index map changes shape when sessions move to the screen. Online learning trims travel cost, opens access to tutors from a deeper corridor, and frees the rate from the boundary of a single city. As a result, the cost gap across cities compresses.
Illustrative relative index to the Yogyakarta base = 100, showing how the online mode narrows the range across cities. Not rupiah rates.
In in-person sessions, the index range between the base city and the core metropolis spans about 78 points. When sessions move online, that range shrinks to about 32 points, because families in any city can reach tutors from a deeper pool without bearing travel cost. Room for this mechanism to grow rests on national internet penetration reaching 79.5 percent in 2024.
The urban and rural gap leaves homework for equalization. Yet the direction of movement is clear: every advance in digital infrastructure narrows the cost chasm across cities and brings quality tutors closer to families in areas where the local pool is still thin.
Source: APJII, 2024 Indonesia Internet Penetration Survey; EduPoint internal analysis (indexed).
Tutoring cost shows three corridors: Greater Jakarta at the peak, the non-capital Java corridor at a middle level with thick supply, and beyond Java with varied cost dynamics.
Reading the index by corridor reveals three different faces of cost, each with its own supply and demand logic.
The capital corridor holds the top of the index, about 1.65 to 1.78 times the base, along with its highest-in-the-nation cost of living. Its demand is dense and differentiated, spanning school academics, test preparation, international curricula, and new skills. This variety sustains a high index because the expertise sought is broad and specific.
Surabaya, Bandung, Semarang, Yogyakarta, and Surakarta form the corridor with the thickest tutor supply, in line with the national student distribution. Cost sits at a middle-to-base level, and the depth of the tutor pool allows a more specific match between family needs and tutor expertise.
Beyond Java, cost moves in varied ways. Denpasar and Balikpapan are lifted by tourism and the energy sector, while other cities sit at a middle level. The depth of the local tutor pool is still developing, so online classes play an important role as a bridge to tutors from a deeper corridor.
Source: EduPoint internal analysis (indexed); PDDikti & BPS, Higher Education Statistics 2025; BPS 2022 Cost of Living Survey.
The second half of the year marks new academic year onboarding in the third quarter and a sharpening ahead of end-of-semester exams, forming a demand rhythm that heightens family cost sensitivity.
Tutoring cost is read across time as much as across space. The second half of the year carries its own demand rhythm, distinct from the university admission season that peaks in the first half. The second semester opens with the new academic year and closes with preparation for the odd-semester final exams.
Relative demand intensity index, highest month = 100. Based on internal demand composition; absolute figures are not shown. A single-semester snapshot; it makes no year-over-year trend claim.
August is the peak, when families enroll their children for support as the new academic year begins. September and October ease into a regular rhythm, then November strengthens again ahead of the odd-semester finals. December declines with the school holidays. This rhythm places family cost sensitivity at its highest early in the semester, when the year's learning commitment is decided.
Because this report captures a single semester, the monthly pattern is presented as a snapshot of conditions for the semester. It offers no year-over-year forecast. The national education calendar serves as the anchor for reading its seasonality, while a later edition will tie this pattern to the semesters that follow.
Source: EduPoint internal analysis (indexed), support demand July to December; national education calendar, Kemendikbud.
Concentrated low cost in student cities and high cost in metros raise a question of fairness, partly answered by online learning and the distribution of tutor supply.
The cost index across cities opens a question of equity. Families in student cities enjoy affordability born from a thick tutor pool, while families in metros bear higher cost along with the cost of living. In areas with a thin local pool, the choice of quality tutors can be limited, even when nominal cost is not the highest.
Online learning offers a path to equalization. By separating the rate from geography, online classes bring tutors from a deep corridor to families in any city. The cost gap that compresses in the online mode, as mapped in the earlier chapter, is the concrete form of this mechanism.
The equalization of digital infrastructure is the condition for this to reach everyone. As long as signal and devices remain uneven, families in areas with low internet penetration still lag behind the benefit of cost compression. The urban and rural gap in the APJII data marks the work that remains.
Source: EduPoint internal analysis (indexed); APJII, 2024 Indonesia Internet Penetration Survey.
The cost index findings guide steps for families, service providers, and education policymakers.
Cost gaps across cities will persist as long as cost of living remains uneven, yet online learning and a widening supply distribution can compress them over time.
Three directions appear to strengthen. First, cost gaps across cities will persist as long as cost of living and regional wages remain uneven, with the metropolitan corridor staying at the top of the index. Second, online learning will keep compressing the cost range as digital infrastructure matures. Third, a tutor supply depth widening beyond the Java corridor may hold cost increases in check in developing regions.
This report captures the second half of 2026, so its projections are indicative. A later edition will tie this index to the semesters that follow so that movement across periods becomes readable, forming the foundation of a richer periodic education cost index.
This report blends two data lanes. The internal lane comes from the EduPoint platform and is presented as a relative index to the Yogyakarta base 100, without rupiah rates. The external lane consists of public measures from official sources, such as household consumption, minimum wages, and internet penetration, cited directly. This separation preserves confidentiality while keeping credibility.
Yogyakarta is set as base 100 for its position as an education city with a thick tutor pool, a moderate cost of living, and mature demand. Every other city index is stated relative to this base.
Cost ratios across cities are aligned with two public markers: household consumption from the 2022 Cost of Living Survey (BPS) and the 2025 provincial minimum wage (Kemnaker). Ratios are compressed to reflect that tutoring rates move more gently than raw cost-of-living gaps.
All internal measures are converted into relative indices. No rupiah rates, absolute counts, or business metrics are shown. The aim is to present the structure and direction of cost without disclosing operational data or service pricing.
The monthly pattern covers the period from July to December and is presented as a single-semester snapshot. It stops short of a year-over-year trend analysis. Seasonal claims rest on the national education calendar from official sources.
Cities with thin supporting data are not shown, to preserve representativeness and privacy. The reading focuses on cities and corridors with adequate data support.
As a single-semester snapshot, this report does not yet capture full movement across periods. The index is illustrative and aligned with public markers; a later edition will enrich the time window so that long-term cost trends can be read.
Appendices A
A summary of all indices used in this report. All values are relative to the Yogyakarta base 100 and do not represent rupiah rates.
| City | Index |
|---|---|
| Jakarta | 178 |
| Tangerang | 166 |
| Bekasi | 165 |
| Surabaya | 150 |
| Denpasar | 146 |
| Balikpapan | 142 |
| Bandung | 137 |
| Medan | 130 |
| Makassar | 127 |
| Semarang | 118 |
| Yogyakarta | 100 |
| Layer | Average index |
|---|---|
| Core metropolis (Greater Jakarta) | 168 |
| Large non-capital cities | 140 |
| Mid-sized & regional cities | 122 |
| Student cities (base) | 100 |
| Province | Index |
|---|---|
| Jakarta | 238 |
| Papua | 187 |
| Riau Islands | 158 |
| East Kalimantan | 156 |
| DI Yogyakarta | 100 |
| Central Java | 96 |
Appendices B
Tim Riset EduPoint. (2026 · Second Semester). Private Tutoring Cost Index Across Cities 2026 H2. EduPoint Education Research. EduPoint Indonesia. https://edupoint.id/en/research/report/indeks-biaya-les-antar-kota-2026-h2
@techreport{edupoint-indeks-biaya-les-antar-kota-2026-h2-2026 · Second Semester,
title = {Private Tutoring Cost Index Across Cities 2026 H2},
author = {{Tim Riset EduPoint}},
institution = {EduPoint Indonesia},
type = {EduPoint Education Research},
year = {2026 · Second Semester},
url = {https://edupoint.id/en/research/report/indeks-biaya-les-antar-kota-2026-h2},
}EduPoint connects families with quality private tutors across Indonesia, in person or online, with clear cost for every city.
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