Description This dataset contains demographic information from the Pakistan Population Census conducted in 2017. It provides detailed population data at various administrative levels within Pakistan, including provinces, divisions, districts, and sub-divisions. The dataset also includes information on urban and rural populations, gender distribution, transgender individuals, sex ratios, population figures from the 1998 census, and annual growth rates.

Features Province: The administrative provinces or regions of Pakistan where the census data was collected.

Division: The divisions within each province. Divisions are the second level of administrative divisions in Pakistan.

District: Districts within each division, representing larger administrative units.

Sub-Division: Sub-divisions or tehsils within each district, providing more localized data.

Area: The land area (in square kilometers) of each sub-division.

Urban Population 2017: The population of urban areas within each sub-division for the year 2017.

Rural Population 2017: The population of rural areas within each sub-division for the year 2017.

Male Population 2017: The male population within each sub-division for the year 2017.

Female Population 2017: The female population within each sub-division for the year 2017.

Transgender Population 2017: The population of transgender individuals within each sub-division for the year 2017.

Sex Ratio 2017: The sex ratio, calculated as the number of females per 1000 males, within each sub-division for the year 2017.

Population in 1998: The total population of each sub-division as recorded in the 1998 census.

Annual Growth Rate: The annual growth rate of the population in each sub-division, calculated as the percentage increase from 1998 to 2017.

Data Source The data in this dataset was collected from official Pakistan Population Census reports and may include data from various government sources. It is essential to provide proper attribution and reference the original sources when using this dataset for analysis or research.

Data Usage Researchers and analysts can use this dataset to explore demographic trends, population growth, urbanization rates, gender distribution, and more within Pakistan at different administrative levels. Ensure compliance with ethical and legal guidelines when using this data for research or public sharing.

Please note that this description is a template, and you should adapt it based on the actual data sources and specific details of your dataset when creating it for Kaggle or any other platform.

This statistic shows the biggest cities in Pakistan as of 2023. In 2023, approximately ***** million people lived in Karāchi, making it the biggest city in Pakistan.

Major Cities in Pakistan by Population

Pakistan PK: Population in Largest City data was reported at 15,020,931.000 Person in 2017. This records an increase from the previous number of 14,650,981.000 Person for 2016. Pakistan PK: Population in Largest City data is updated yearly, averaging 6,793,799.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 15,020,931.000 Person in 2017 and a record low of 1,853,325.000 Person in 1960. Pakistan PK: Population in Largest City data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Pakistan – Table PK.World Bank.WDI: Population and Urbanization Statistics. Population in largest city is the urban population living in the country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; ;

Pakistani Cities and Their Provinces Dataset Description This dataset contains a comprehensive list of cities from Pakistan, along with their corresponding provinces. It serves as a valuable resource for anyone seeking geographical insights into Pakistan’s urban areas. The dataset covers major cities from all provinces, including Sindh, Punjab, Khyber Pakhtunkhwa, and Balochistan, making it suitable for various applications such as urban planning, population studies, and regional analysis.

Key Features:

City Names Province Names Country: Pakistan Potential Use Cases Geographical Analysis: Ideal for researchers and students performing geographical, demographic, or regional studies of Pakistan's urban landscape. Data Science Projects: Can be used for machine learning projects involving geospatial analysis, regional clustering, and city-level modeling. Visualization Projects: Helpful for creating maps, charts, and visual representations of Pakistan’s provinces and cities in tools like Power BI or Tableau. Business Insights: Useful for businesses analyzing market expansion strategies, targeting regional demographics, or performing location-based analysis. Education: A helpful resource for students and educators in geography, data science, and economics to understand the distribution of cities across provinces. Applications Machine Learning (Geospatial data, clustering models) Data Visualization (Map plotting, heatmaps) Policy Making (Urban development, resource allocation) Educational Projects (Geography, demographics) Feel free to download, explore, and incorporate this dataset into your projects. I welcome any feedback or suggestions to improve its utility!

Actual value and historical data chart for Pakistan Population In Largest City

Pakistan PK: Population in Largest City: as % of Urban Population data was reported at 20.922 % in 2017. This records a decrease from the previous number of 20.928 % for 2016. Pakistan PK: Population in Largest City: as % of Urban Population data is updated yearly, averaging 21.610 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 23.038 % in 1980 and a record low of 18.670 % in 1960. Pakistan PK: Population in Largest City: as % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Pakistan – Table PK.World Bank.WDI: Population and Urbanization Statistics. Population in largest city is the percentage of a country's urban population living in that country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; Weighted average;

This dataset is about cities in Pakistan. It has 349 rows. It features 4 columns: country, population, and region.

The share of urban population in Pakistan stood at ***** percent in 2023. In a steady upward trend, the share rose by ***** percentage points from 1960.

A comprehensive dataset of 1,513 Pakistani cities, towns, tehsils, districts and places with latitude/longitude, administrative region, population (when available) and Wikidata IDs — ideal for mapping, geospatial analysis, enrichment, and location-based ML.

Why this dataset is valuable:

• Full geocoordinates for every entry (100% coverage) — ready for mapping and spatial joins.
• Wide geographic coverage across all 7 major regions of Pakistan (provinces / administrative regions).
• Wikidata IDs included for reliable cross-referencing and automatic enrichment from external knowledge bases.
• Useful for data scientists, GIS engineers, civic tech projects, academic research, and startups building Pakistan-focused location services.

Highlights (fetched from the data):

• Total rows: 1,513
• Unique places (city field): 1,497
• Rows with population > 0: 526 (≈34.8%)
• Coordinate coverage: 1513 / 1513 (100%) — directly usable with mapping libraries.

Column definitions (short):

• id — Internal numeric row id (unique integer).
• wikiDataId — Wikidata QID (e.g., Q####) for the place; use to fetch rich metadata.
• type — Administrative/place type (e.g., ADM1, ADM2, city, district, tehsil).
• city — Common/local city/place name (short label).
• name — Full name / official name of the place (may include “District”, “Tehsil”, etc.).
• country — Country name (Pakistan).
• countryCode — ISO country code (e.g., PK).
• region — Primary administrative region / province (e.g., Punjab, Sindh).
• regionCode — Short code for region (e.g., PB, KP depending on your encoding).
• regionWdId — Wikidata QID for the region.
• latitude — Latitude in decimal degrees (float).
• longitude — Longitude in decimal degrees (float).
• population — Integer population (0 or NA where unknown).

Typical & high-value use cases:

• Mapping & visualization: choropleth maps, point overlays, heatmaps of population or density.
• Geospatial analysis: distance calculations, nearest-neighbor queries, clustering of urban centers.
• Data enrichment: join with other datasets (OpenStreetMap, Wikidata, census data) using wikiDataId and coordinates.
• Machine learning & NLP: training geolocation models, geoparsing, toponym resolution, place name disambiguation.
• Urban planning & research: analyze distribution of population-ready places vs administrative units.
• Mobile / location-based apps: lookup & reverse geocoding fallback, seeding POI databases for Pakistan.
• Humanitarian & disaster response: baseline location lists for logistics and situational awareness.

Description: This dataset contains detailed information about cities and administrative regions in Pakistan, including their geographic coordinates, population, and administrative hierarchy. Each record provides:

id – Unique identifier for the location.

wikiDataId – Wikidata entity ID for cross-referencing.

type – Classification of the place (CITY, ADM2).

city – City or locality name.

name – Full official name of the place.

country – Country name (Pakistan).

countryCode – ISO 2-letter country code.

region – Province or state name.

regionCode – Abbreviation for the province.

regionWdId – Wikidata ID for the province/region.

latitude – Latitude coordinate.

longitude – Longitude coordinate.

population – Population count (0 means unknown or unavailable).

This comprehensive dataset provides detailed population statistics for major cities across Pakistan, spanning multiple census years from 1972 to 2023. The dataset includes population figures for each city as recorded in the 1972, 1981, 1998, 2017, and 2023 censuses, along with the percentage change in population between consecutive censuses. The data is organized by city and province, offering valuable insights into urban growth trends, demographic shifts, and regional development over the past five decades.

Features

• City: Name of the city.

• Pop (2023 Census): Population as per the 2023 census, with percentage change from the 2017 census.

• Pop (2017 Census): Population as per the 2017 census, with percentage change from the 1998 census.

• Pop (1998 Census): Population as per the 1998 census, with percentage change from the 1981 census.

• Pop (1981 Census): The Population as of the 1981 census, with a percentage change from the 1972 census.

• Pop (1972 Census): Population as per the 1972 census.

• Province: The province or administrative region where the city is located.

Potential Use Cases

• Urban Planning: Analyze population growth trends to inform infrastructure development and resource allocation.

• Demographic Studies: Study the demographic changes in different regions of Pakistan over time.

• Policy Making: Support evidence-based policy decisions related to housing, education, healthcare, and transportation.

• Academic Research: Utilize the dataset for research in urban studies, sociology, and economics.

Data Source

This dataset's data was collected and compiled from the Wikipedia page titled "List of cities in Pakistan by population." The information on Wikipedia is based on publicly available census data and government records, which have been aggregated and presented in a structured format. While Wikipedia serves as a secondary source, the original data is derived from official census reports conducted by the Pakistan Bureau of Statistics and other governmental bodies.

Acknowledgments We acknowledge Wikipedia for providing a consolidated and accessible source of information on city-wise population data in Pakistan. Additionally, we extend our gratitude to the Pakistan Bureau of Statistics and other government agencies responsible for conducting and publishing the census data, which forms the foundation of this dataset. Their efforts in collecting and maintaining accurate demographic records have made this dataset possible.

Pakistan PK: Urban Population Growth data was reported at 2.526 % in 2017. This records a decrease from the previous number of 2.574 % for 2016. Pakistan PK: Urban Population Growth data is updated yearly, averaging 3.623 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 4.556 % in 1960 and a record low of 2.526 % in 2017. Pakistan PK: Urban Population Growth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Pakistan – Table PK.World Bank.WDI: Population and Urbanization Statistics. Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects.; ; World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.; Weighted average;

About this dataset

Context

This list ranks the 238 cities in the Washington by Pakistani population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Pakistani Population: This column displays the rank of city in the Washington by their Pakistani population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Pakistani Population: The Pakistani population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Pakistani. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Washington Pakistani Population: This tells us how much of the entire Washington Pakistani population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Historical dataset showing Pakistan urban population by year from 1960 to 2023.

Major Cities Population

Actual value and historical data chart for Pakistan Urban Population Percent Of Total

The share of urban population in Pakistan amounted to 38.04 percent in 2023. In a steady upward trend, the share rose by 15.94 percentage points from 1960.

Pakistan PK: Urban Population data was reported at 71,796,554.000 Person in 2017. This records an increase from the previous number of 70,005,347.000 Person for 2016. Pakistan PK: Urban Population data is updated yearly, averaging 31,121,090.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 71,796,554.000 Person in 2017 and a record low of 9,926,529.000 Person in 1960. Pakistan PK: Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Pakistan – Table PK.World Bank.WDI: Population and Urbanization Statistics. Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects. Aggregation of urban and rural population may not add up to total population because of different country coverages.; ; World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.; Sum;

Context

Simple Pakistani Cities Data, with latitude, longitude, population, Province. Below is a list of 146 prominent cities in Pakistan. Each row includes a city's latitude, longitude, province and other variables of interest. This is a subset of all 140,909 places in Pakistan (and only some of the fields) that you'll find in our World Cities Database.

Source

https://simplemaps.com/data/pk-cities