World Data Lab

Asia-Pacific

What we hold for Indonesia.

World Data Lab models consumer spending for Indonesia, every year from 2000 to 2050, and names the 345 cities and 32 regions it holds on this page. The figures are available under licence, so contact us for the ones you need.

The 345 cities we model.

Each one is modelled in its own right rather than as a share of the country, so a shortlist can be drawn at city level before a market is entered.

  • Abepura
  • Air Molek I
  • Ajibarang
  • Ambarawa
  • Ambon
  • Ampana
  • Amuntai
  • Amurang
  • Arjawinangun
  • Asembagus
  • Atambua
  • Bagan Siapi-api
  • Bagelen
  • Balikpapan
  • Balung
  • Banda Aceh
  • Bandar Lampung
  • Bandar Seri Bentan
  • Bandung
  • Bangkalan
  • Bangkinang
  • Bangko
  • Banjar
  • Banjaran
  • Banjarbaru
  • Banjarmasin, Banten
  • Banjarmasin, Kalimantan Selatan
  • Banjarnegara
  • Banjarsari
  • Bantaeng
  • Bantengan
  • Banyuwangi
  • Barabai
  • Baroqah
  • Batam City
  • Baturaja
  • Batusangkar
  • Baubau
  • Bekonang
  • Bendo
  • Beng
  • Bengkalis
  • Bengkulu
  • Berastagi
  • Biak Kota
  • Bima
  • Binangun
  • Bireuen
  • Bitung
  • Blitar
  • Blora
  • Bojonegoro
  • Bondowoso
  • Bontang
  • Braja Asri
  • Brondong
  • Bukittinggi
  • Bulukumba
  • Bumi Mulyo
  • Bumihayu
  • Cianting Utara
  • Cibodas
  • Cikijing
  • Cilacap
  • Cilandak Lor
  • Cilegon
  • Cipanas
  • Cirebon
  • Curup
  • Dabo
  • Demak
  • Denpasar
  • Dobo
  • Dolopo
  • Dompu
  • Dumai
  • Duri
  • Elelim
  • Ende
  • Genteng
  • Gombong
  • Gondanglegi
  • Gorontalo
  • Grabag
  • Gresik
  • Gunung Lingkas
  • Gunung Tua
  • Gunungsitoli
  • Haurgeulis
  • Hegarsari
  • Heuleut
  • Ilaga
  • Indramayu
  • Jajag
  • Jakarta
  • Jambi
  • Jatibarang
  • Jatilawang
  • Jayapura
  • Jember
  • Jepara
  • Jombang
  • Joresan
  • Jubang
  • Juwana
  • Kabanjahe
  • Kadipaten
  • Kalabahi
  • Kalianget
  • Kandangan
  • Karang Kliwon
  • Karangampel
  • Karangasem
  • Karangwareng
  • Karyamakmur
  • Kayu Agung
  • Keban Agung
  • Kebonan, Jawa Timur
  • Kebumen
  • Kebuyutan
  • Kecamatan Kopang
  • Kecamatan Pringgabaya
  • Kedawang
  • Kediri
  • Kefamenanu
  • Kencong
  • Kendari
  • Kepanjen
  • Kersana
  • Kertasari
  • Kertosono
  • Ketapang
  • Kisaran
  • Kluwut
  • Kolaka
  • Kota Nunukan
  • Kotaanyar
  • Kotabaru
  • Kotabumi
  • Kotamobagu
  • Kraksaan
  • Kuala Kapuas
  • Kudus
  • Kuningan
  • Kupang
  • Kutoarjo
  • Labuan Bajo
  • Labuha
  • Lahat
  • Lamongan
  • Langsa
  • Lewoleba
  • Lhokseumawe
  • Loning
  • Losari
  • Lowian
  • Lubuk Pakam
  • Lubuklinggau
  • Lumajang
  • Luwuk
  • Madiun
  • Magelang
  • Majalengka
  • Majenang
  • Majene
  • Makassar
  • Malang
  • Mamuju
  • Manado
  • Mandiraja
  • Manna
  • Manokwari
  • Masohi
  • Mataram
  • Maumere
  • Medan
  • Mekarsari
  • Merauke
  • Metro
  • Meulaboh
  • Mojoagung
  • Muara Bungo
  • Muara Enim
  • Muaratewe
  • Mulia
  • Muncar
  • Muntilan
  • Muntok
  • Nabire
  • Negara
  • Ngabang
  • Nganjuk
  • Ngawi
  • Ngluwar
  • Pacitan
  • Padang
  • Padang Sidempuan
  • Padangan
  • Pagar Alam
  • Paguyangan
  • Palabuhanratu
  • Palangka Raya
  • Palembang
  • Palopo
  • Palu
  • Pamanukan
  • Pamekasan
  • Pandan
  • Pandeglang
  • Pangandaran
  • Pangkajene, Sulawesi Selatan
  • Pangkalan Brandan
  • Pangkalan Bun
  • Pangkalan Kerinci
  • Pangkalpinang
  • Panundaan
  • Panyabungan
  • Parakan
  • Pare
  • Pare-Pare
  • Pasir Pengaraian
  • Pasirukem
  • Pasuruan
  • Pati
  • Payakumbuh
  • Pekalongan
  • Pekanbaru
  • Pekkabata
  • Pelaihari
  • Pemalang
  • Pemanggilan
  • Pematang Siantar
  • Perawang
  • Pinrang
  • Pohon Sirih
  • Polewali
  • Poncowati
  • Ponggok
  • Ponorogo
  • Pontianak
  • Poso
  • Prabumulih
  • Praya
  • Pringsewu
  • Probolinggo
  • Proppo
  • Purwakarta
  • Purwodadi
  • Purwokerto
  • Purworejo
  • Raha
  • Rangkasbitung
  • Rantau Prapat
  • Rantepao
  • Rembang
  • Ruteng
  • Salatiga
  • Samarinda
  • Sampang
  • Sampit
  • Sanana
  • Sangatta Utara
  • Sanggau
  • Selatpanjang
  • Selong
  • Semarang
  • Semarapura
  • Sengkang
  • Sentani
  • Seririt
  • Serui Kota
  • Sibolga
  • Sidiangkat
  • Sido Dadi
  • Sigli
  • Singaraja
  • Singkawang
  • Sinjai
  • Sintang
  • Situbondo
  • Soe
  • Solok
  • Sorong
  • Sragen
  • Stabat
  • Subang
  • Sukasari
  • Sukoharjo
  • Sukorejo
  • Sumbawa Besar
  • Sumberpucung
  • Sumedang
  • Sumenep
  • Sungailiat
  • Surabaya
  • Surakarta
  • Suralaya
  • Takengon
  • Tambakboyo
  • Tana Paser
  • Tanjung
  • Tanjung Balai
  • Tanjung Balai Karimun
  • Tanjung Pandan
  • Tanjung Pinang
  • Tanjung Redeb
  • Tanjung Selor
  • Tarogong
  • Tasikmalaya
  • Tebing Tinggi
  • Tegal
  • Tegal Rejo
  • Tegalglagah
  • Teluk Dalam
  • Temanggung
  • Tembilahan
  • Tempeh
  • Tengaran
  • Tenggarong
  • Ternate
  • Timika
  • Tobelo
  • Toboali
  • Tolitoli
  • Tomohon
  • Tondano
  • Trenggalek
  • Tual
  • Tuban
  • Tulungagung
  • Ubud
  • Ujung Batu
  • Umbulrejo
  • Unaaha
  • Waingapu
  • Waled
  • Wamena
  • Warujayeng
  • Watampone
  • Watansoppeng
  • Wates
  • Wonogiri
  • Wonosari
  • Wonosobo
  • Yogyakarta

The 32 regions we model.

The country's first administrative level, so a plan can be cut the way the market is actually managed rather than the way the map is drawn.

  • Aceh
  • Bali
  • Bangka Belitung
  • Banten
  • Bengkulu
  • Gorontalo
  • Jakarta Raya
  • Jambi
  • Jawa Barat
  • Jawa Tengah
  • Jawa Timur
  • Kalimantan Barat
  • Kalimantan Selatan
  • Kalimantan Timur
  • Kalimantan Utara
  • Kepulauan Riau
  • Lampung
  • Maluku
  • Maluku Utara
  • Nusa Tenggara Barat
  • Nusa Tenggara Timur
  • Papua
  • Papua Barat
  • Riau
  • Sulawesi Selatan
  • Sulawesi Tengah
  • Sulawesi Tenggara
  • Sulawesi Utara
  • Sumatera Barat
  • Sumatera Selatan
  • Sumatera Utara
  • Yogyakarta

Everything we hold for Indonesia.

Every cut below is held for the country and, where places are listed above, for each of those places. The same cuts everywhere is what lets one market be compared with another rather than merely described on its own.

  • Cities

    345 named on this page

    Each modelled in its own right rather than as a share of the country.

  • Regions

    32 of them

    The country's first administrative level, so a plan can be cut the way the market is actually managed.

  • Consumer spending

    every year from 2000 to 2050

    What the people who live there spend, in total and per person.

  • Population and the consumer class

    the whole population

    How many live there and how many have crossed into the consumer class.

  • Spending groups

    five levels of daily spending

    The count of people at each level, so a price point can be sized rather than guessed.

  • Spending categories

    more than 200

    From food and housing through to beauty and financial services.

  • Age and generation

    by band and by cohort

    The same spending split by how old the buyer is.

  • Households

    homes, not only people

    How many homes there are, and what a home spends rather than a person.

This page states coverage, not figures. The numbers themselves are delivered under licence, as a data feed or inside the platform. Tell us the market and the category and we will show you what the model holds.

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