Asia-Pacific
What we hold for Pakistan.
World Data Lab models consumer spending for Pakistan, every year from 2000 to 2050, and names the 231 cities and 7 regions it holds on this page. The figures are available under licence, so contact us for the ones you need.
The 231 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.
- Abbottabad
- Ahmedpur East
- Akhorwal
- Ali Khel
- Alipur
- Allahabad
- Allai
- Ameer Abad Kalay
- Anghapur
- Arifwala
- Attock
- Badin
- Baffa
- Bahawalnagar
- Bahawalpur
- Balakot
- Bani Gala
- Bannu
- Batkhela
- Battagram
- Bhakkar
- Bhalwal
- Birote
- Burewala
- Chakdara
- Chakwal
- Chaman
- Charbagh
- Charsadda
- Chichawatni
- Chiniot
- Chishtian Sharif
- Chitral
- Dadu
- Daharki
- Darya Khan
- Daska
- Depalpur
- Dera Ghazi Khan
- Dera Ismail Khan
- Dherai
- Dina
- Dinga
- Duki
- Faisalabad
- Faqirwali
- Farooqabad
- Feroze Wattwan
- Fort Abbas
- Gaggoo
- Gambat
- Garhi Habibullah
- Ghakhar Mandi
- Ghazi
- Ghotki
- Gilgit
- Gojra
- Gujar Khan
- Gujranwala
- Gujrat
- Gwadar
- Hafizabad
- Haleji Sharif
- Hangu
- Haripur
- Haroonabad
- Hasilpur
- Haveli Lakha
- Havelian Cantonment
- Hazro
- Hub
- Hyderabad
- Inam Kalay
- Inayat Killi
- Islamabad
- Ismaila
- Jacobabad
- Jahanian
- Jalalpur Jattan
- Jampur
- Jamshoro
- Jaranwala
- Jatoi
- Jhang
- Jhelum
- Joharabad
- Johi
- Kabirwala
- Kahror Pacca
- Kahuta
- Kalpani
- Kamalia
- Kamoke
- Kandhkot
- Karachi
- Karak
- Kashmore
- Kasur
- Katen Bala
- Katlang
- Khairpur
- Khairpur Nathan Shah
- Khall
- Khanewal
- Khanke Mod
- Khanpur
- Khar Bajaur
- Kharan
- Kharian
- Khuzdar
- Khwazakhela
- Kohat
- Kot Addu
- Kotli
- Lahore
- Lakki Marwat
- Lal Qilla
- Lalamusa
- Landi Kotal
- Larkana
- Layyah
- Liaquatpur
- Lodhran
- Mailsi
- Mandi Bahauddin
- Mandi Faizabad
- Mansehra
- Mardan
- Matli
- Matta
- Mera Umarzai
- Mian Channu
- Mianwali
- Mingora
- Mirpur
- Mirpur Khas
- Mirpur Mathelo
- Moro
- Muhammad Khel
- Multan
- Muridke
- Muzaffarabad
- Muzaffargarh
- Nankana Sahib
- Narowal
- Nathe Khalsa
- Nawabshah
- Nowshera
- Nurrar
- Oghi
- Okara
- Okara Cantonment
- Pabbi
- Pacha Kalay
- Pakpattan
- Pangalah
- Panjgur
- Pano Akil
- Parachinar
- Pashat
- Pasrur
- Pattoki
- Peshawar
- Phalia
- Phool Nagar
- Piplan
- Pir jo Goth
- Pir Mahal
- Pishin
- Qasba Gujrat
- Qila Khudabadan
- Quetta
- Rabwah
- Rahim Yar Khan
- Raiwind
- Rajanpur
- Rawalakot
- Renala Khurd
- Rustam
- Sadiqabad
- Sahiwal
- Sakhakot
- Sakrand
- Samarbagh
- Sambrial
- Samundri
- Sangla Hill
- Sarai Alamgir
- Sargodha
- Serai Naurang
- Shabqadar
- Shahdadkot
- Shahdadpur
- Shahkot
- Shakar Garh
- Sherpao
- Shewa
- Shikarpur
- Shorkot
- Shujaabad
- Sialkot
- Sibi
- Skardu
- Sui
- Sukkur
- Swabi
- Takht Bhai
- Talagang
- Tandlianwala
- Tando Adam
- Tando Allahyar
- Tando Muhammad Khan
- Tangi
- Tank
- Taxila
- Thana
- Thatta
- Timergara
- Toba Tek Singh
- Topi
- Totalai
- Turbat
- Umerkot
- Vehari
- Wali Khel
- Warburton
- Wardaga
- Wari
- Wazirabad
- Yar Hussain
- Zhob
The 7 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.
- Azad Kashmir
- Balochistan
- Federally Administered Tribal Ar
- Islamabad
- Khyber-Pakhtunkhwa
- Punjab
- Sindh
Everything we hold for Pakistan.
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
231 named on this page
Each modelled in its own right rather than as a share of the country.
Regions
7 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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