Baca artikel IDN Research Institute lainnya di IDN App
It helps you see more of our articles when you search on Google
Indonesia’s Poverty Rate Is Falling, but How Conditions Really Like?
the life of the unfortunates (pexels.com/Austin Garcia)
  • In March 2026, Indonesia’s poverty rate fell to 8.07%, or 22.93 million people, a reduction of 430 thousand people from September 2025 and 2.97 million since March 2023.

  • The national decline has not been evenly distributed: Java accounts for 52.42% of the national poor population even though its poverty rate is 7.60%, while Aceh and Central Kalimantan actually saw poverty rise.

  • In rural areas, the poverty rate edged down to 10.67%, yet the poverty gap and poverty severity indices both increased; P0, P1, and P2 data are needed to understand local conditions.

This section summary was AI-assisted and reviewed by our editorial team.

Indonesia’s poverty rate has been recorded as declining, but the change over the past six months is relatively slight.

In March 2026, the percentage of the poor population reached 8.07%, down 0.18 percentage points from September 2025. The number of poor people also fell by about 430 thousand, from 23.36 million to 22.93 million.

Over a longer period, the direction is indeed downward. In March 2023, the poverty rate stood at 9.36%, or about 25.90 million people. Over three years, the number of poor people fell by about 2.97 million.

However, the national figure shows only one layer of people’s economic conditions.

When the data is examined down to the provincial level and broken down by urban and rural areas, the changes turn out not to always move in the same direction or at the same scale.

In Java, for example, the poverty rate is below the national figure, yet the number of poor people reaches 12.02 million, or 52.42% of the national total. In Aceh, the number of poor people has increased, while the depth and severity of poverty have actually declined. In Central Kalimantan, both the poverty rate and the depth of poverty have increased.

This means that a decline in the national figure does not automatically mean that all regions experience the same change.

For companies operating across regions, this difference matters. The question is not only whether poverty has fallen, but where the change is occurring, how large it is, and what conditions are like for the groups still under economic pressure.

The Largest Market Does Not Always Share the Same Conditions

The poverty rate and the number of poor people answer two different questions.

In March 2026, the poverty rate on the island of Java was recorded at 7.60%, lower than the national figure of 8.07%. However, the number of poor people in Java reached 12.02 million, or 52.42% of Indonesia’s total poor population.

East Java alone has about 3.71 million poor people, the largest number in Indonesia, even though its poverty rate is 9.06%.

By contrast, the Maluku and Papua region has a much higher poverty rate, at around 18.06%, but its poor population is only about 1.44 million.

This difference matters because the percentage shows how widespread poverty is within a population, whereas the absolute number shows the size of the population living in that condition.

For companies, the two carry different meanings.

The percentage helps in reading the characteristics of a region. The absolute number helps indicate the size of the population that must be taken into account when assessing market scale.

For this reason, a region with a lower poverty rate does not necessarily have a smaller number of economically pressured consumers in absolute terms.

The Same Headline Can Hide Different Conditions

Differences also become visible when looking beyond the percentage of poor people, or P0.

BPS (Statistics Indonesia) uses several indicators to describe poverty. P0 shows the proportion of the population below the poverty line. P1 shows the depth of poverty, that is, how far, on average, the poor fall below the poverty line. P2 describes the severity of poverty, including inequality among the poor.

Put simply, P0 shows how many, P1 shows how far, and P2 shows how unequal conditions are among those who are poor.

This difference can be seen in Aceh and Central Kalimantan.

In Aceh, the poverty rate rose from 11.79% in September 2025 to 12.34% in March 2026. The number of poor people also rose, from about 703 thousand to 714 thousand.

However, P1 fell from 2.055 to 1.961, while P2 fell from 0.523 to 0.460.

In Central Kalimantan, the situation is different. The poverty rate rose from 4.94% to 5.09%, while P1 rose from 0.611 to 0.778. P2 also increased.

Thus, two regions that both saw a rise in the poverty rate did not necessarily experience the same change in conditions.

The headline may be the same. The economic pressure is not necessarily the same.

This matters when poverty figures are used as one source of context for understanding markets. A single figure can show the direction of change, but it does not necessarily explain what lies behind that change.

The Number of Poor People Is Falling, but Conditions Are Not Uniform

The differences become clearer when Indonesia is divided into urban and rural areas.

Indicator

Urban

Rural

P0, March 2026

6.34%

10.67%

P1, March 2026

0.951

1.744

P2, March 2026

0.209

0.414

Poor population

10.83 million

12.10 million

Nationally, the poverty rate in urban areas fell from 6.60% in September 2025 to 6.34% in March 2026. The number of poor people in urban areas also decreased by about 350 thousand.

In rural areas, the poverty rate fell by a smaller margin, from 10.72% to 10.67%. The number of poor people decreased by about 80 thousand.

However, the indicators of depth and severity of poverty in rural areas actually rose. P1 increased from 1.660 to 1.744, while P2 increased from 0.390 to 0.414.

In other words, although the number of poor people in rural areas fell slightly, the condition of the group still below the poverty line shows deeper and more unequal pressure.

This is one reason why the decline in P0 needs to be read alongside the other indicators.

If we look only at the number of people below the poverty line, we see that it is decreasing. But if we look at the depth and severity of poverty, we gain additional information about the conditions of those who remain in that group.

What Is Often Missing from the National Figure?

There are at least three things to bear in mind when poverty figures are used to read market conditions.

First, market size is not the same as consumers’ economic condition.

Regions with large populations may have a relatively low poverty rate yet still have a large number of poor people in absolute terms. Conversely, regions with a high poverty rate may have a much smaller population.

Second, a national decline does not mean that all regions are moving together.

Aceh and Central Kalimantan show that a simultaneous rise in P0 can be accompanied by different changes in P1 and P2. At the urban and rural levels, too, the decline in the number of poor people occurred at different scales.

Third, the poverty figure is not the only measure for reading purchasing power or consumption potential.

The BPS poverty line is used to determine whether a person falls below the minimum threshold for basic needs according to poverty statistics. In March 2026, the national poverty line was recorded at Rp669,235 per capita per month.

This figure is important as context, but it cannot be used on its own to draw conclusions about the spending capacity of society as a whole. To read the market more fully, poverty indicators need to be viewed alongside per capita expenditure data, the structure of household consumption, and the economic characteristics of each region.

Hyperlocal Relevance Is Increasingly Important

Differences in economic conditions across regions do not mean that brands should abandon a national strategy. Rather, this data shows why hyperlocal relevance is increasingly important when companies read market growth.

Hyperlocal approaches have long been used to tailor products, pricing, distribution, and communication to regional characteristics. However, the economic context shows that what needs to be localized is not only how a brand enters a region, but also how the brand reads the opportunities in that region.

This is because market size does not always give a sufficient picture of the quality of the opportunity.

Java has a poverty rate below the national figure, yet it is home to more than half of Indonesia’s poor population. Conversely, some regions have a much higher poverty rate but a far smaller population.

Both conditions can look like market opportunities. But the consumer context is not identical.

The same applies when looking at change over time. A decline in the number of poor people in a region does not automatically mean that economic pressure has eased in the same pattern for the group still below the poverty line. Changes in P1 and P2 show that the number of people and the condition of the people within that number are two different things.

This is where market reading needs to go one step further.

Not only:

“Where is the consumer base largest?”

But:

“Where are economic conditions changing, who is affected, and what does that change mean for the category we play in?”

This question becomes even more important as brands enter broader markets. An opportunity that looks the same at the national level can have a different degree of relevance when taken to different regions.

Hyperlocal, therefore, is not merely about making communication more local. It becomes increasingly important as a way of reading differences in context behind market figures.

The National Figure Shows the Direction. Local Conditions Show the Opportunity

Indonesia’s poverty rate fell to 8.07% in March 2026, continuing the downward trend of the past three years.

But when that figure is opened up further, we find a market that does not move in a single pattern.

There are regions with a low poverty rate but a large number of poor people. There are regions with a high poverty rate but a smaller population. There are regions where the number of poor people has increased while the depth and severity of poverty have decreased. There are also regions where the pressure of poverty has actually deepened.

This means that a single national headline can yield different market readings when taken to the local level.

This matters because companies often use national figures to answer questions about the size and direction of the market. Yet, to make decisions at the regional level, the questions needed may be different.

Is that market undergoing change large enough to open room for growth?

Do consumers in that region face pressures that differ from the national figure?

Is the opportunity that appears from the size of the population also supported by economic conditions relevant to the category?

Not all of these questions can be answered by poverty figures. But this data shows why reading a single national figure as representative of all of Indonesia increasingly risks producing an overly flattened picture.

For brands, the implication is not that every region requires an entirely different strategy. Rather, what becomes increasingly important is knowing when a national strategy is sufficient, and when local context needs to change how an opportunity is read.

Because in the end, the greatest challenge is not simply finding consumers where their numbers are largest.

The challenge is understanding whether market conditions in that place truly support the opportunity one wishes to grow.

Indonesia remains one market. But the same figure does not always mean the same opportunity.

References

Badan Pusat Statistik. (2026). Indeks kedalaman kemiskinan/poverty gap index (P1) [Indicator metadata]. Sirusa BPS. Retrieved September 29, 2026, from https://sirusa.web.bps.go.id/metadata/indikator/43092

Badan Pusat Statistik. (2026a, August 5). Persentase penduduk miskin Maret 2026 turun menjadi 8,07 persen [Official Statistical News No. 80/08/Th. XXIX]. Retrieved September 29, 2026, from https://www.bps.go.id/id/pressrelease/2026/08/05/2594/persentase-penduduk-miskin-maret-2026-turun-menjadi-8-07-persen-.html

Badan Pusat Statistik. (2026b). Indeks keparahan kemiskinan (P2) menurut daerah, 2025 [Statistical table]. Retrieved September 29, 2026, from https://www.bps.go.id/id/statistics-table/2/MTk5IzI=/indeks-keparahan-kemiskinan-p2-menurut-daerah.html

Badan Pusat Statistik. (2026c). Persentase penduduk miskin (P0) menurut provinsi dan daerah (persen), 2026 [Statistical table]. Retrieved September 29, 2026, from https://www.bps.go.id/id/statistics-table/2/MTkyIzI=/persentase-penduduk-miskin--maret-2026.html

Badan Pusat Statistik. (2026d). Indeks keparahan kemiskinan (P2) menurut provinsi dan daerah (persen), 2026 [Statistical table]. Retrieved September 29, 2026, from https://www.bps.go.id/id/statistics-table/2/NTA0IzI=/indeks-keparahan-kemiskinan--p2--menurut-provinsi-dan-daerah.html

Databoks. (2025, August 19). 10 provinsi dengan angka kemiskinan tertinggi awal 2025. Katadata. Retrieved September 29, 2026, from https://databoks.katadata.co.id/en/infographics/2025/08/19/10-provinsi-dengan-angka-kemiskinan-tertinggi-awal-2025

Investortrust. (2026, August 5). Penduduk miskin per Maret 2026 tinggal 22,9 juta atau 8,07%, tapi kesenjangan sosial sedikit melebar. Retrieved September 29, 2026, from https://investortrust.id/macro/111941/penduduk-miskin-per-maret-2026-tinggal-22-9-juta-atau-8-07-tapi-kesenjangan-sosial-sedikit-melebar

JPNN. (2026). Pemprov targetkan angka kemiskinan Jateng turun menjadi 8,70 persen di akhir 2026. Retrieved September 29, 2026, from https://jpnn.com/news/pemprov-targetkan-angka-kemiskinan-jateng-turun-menjadi-870-persen-di-akhir-2026

Jurnas. (2026, August 5). Maret 2026, penduduk miskin turun jadi 22,93 juta orang. Retrieved September 29, 2026, from https://www.jurnas.com/artikel/1663172/maret-2026-penduduk-miskin-turun-jadi-2293-juta-orang

Kantamedia. (2026, August 6). Angka kemiskinan Kalteng meningkat, lonjakan tertinggi di pedesaan. Retrieved September 29, 2026, from https://www.kantamedia.com/kalimantan-tengah/palangka-raya/angka-kemiskinan-kalteng-meningkat-lonjakan-tertinggi-di-pedesaan/

Kompas.com. (2026, August 6). Jumlah penduduk miskin Aceh naik tembus 713.000 jiwa, BPS soroti dampak bencana. Retrieved September 29, 2026, from https://regional.kompas.com/read/2026/08/06/094545478/jumlah-penduduk-miskin-aceh-naik-tembus-713000-jiwa-bps-soroti-dampak

kumparan. (2026, August 5). BPS: 430 ribu penduduk keluar dari kemiskinan per Maret 2026. Retrieved September 29, 2026, from https://kumparan.com/kumparanbisnis/bps-430-ribu-penduduk-keluar-dari-kemiskinan-per-maret-2026-27vTQol1bSh

Media Indonesia. (2026, August 5). BPS: Jumlah penduduk miskin berkurang 430 ribu orang pada Maret 2026. Retrieved September 29, 2026, from https://mediaindonesia.com/ekonomi/918496/bps-jumlah-penduduk-miskin-berkurang-430-ribu-orang-pada-maret-2026

Nukilan. (2026, August 6). Persentase penduduk miskin Aceh naik jadi 12,34 persen pada Maret 2026. Retrieved September 29, 2026, from https://nukilan.id/persentase-penduduk-miskin-aceh-naik-jadi-1234-persen-pada-maret-2026/

Radar Bandung. (2026, September 23). Warga miskin masih 3,4 juta orang, KDM agar mulai fokus penanganan kemiskinan dan pengangguran. Retrieved September 29, 2026, from https://www.radarbandung.id/2026/09/23/warga-miskin-masih-34-juta-orang-kdm-agar-mulai-fokus-penanganan-kemiskinan-dan-pengangguran/

Ratri, Z. (2026, August 10). Garis kemiskinan meningkat, jumlah penduduk miskin menurun. Suar. Retrieved September 29, 2026, from https://www.suar.id/garis-kemiskinan-meningkat-jumlah-penduduk-miskin-menurun/

Curated For You

Editorial Team

Related Article