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Pakistan Census 2017 Dataset
Description This dataset comprises data related to Pakistan's national census conducted in 2017. It includes final census results, population figures, household data, and administrative unit statistics. The census was carried out by the Pakistan Bureau of Statistics (PBS) between March 15, 2017, and May 25, 2017.
The dataset provides valuable insights into Pakistan's population, demographic characteristics, urbanization, ethnic diversity, religious composition, literacy, employment, housing, and more. It is a comprehensive resource for researchers, analysts, and data enthusiasts interested in exploring and analyzing various aspects of Pakistan's census.
Content The dataset includes the following files:
Pakistan_2017_Census_final.csv: Final census results at the tehsil (administrative unit) level.
The dataset was compiled from official releases by the Pakistan Bureau of Statistics (PBS) and is made available on Kaggle for wider access and analysis. The PBS conducted the census and provided the necessary data for this dataset.
Usage This dataset can be utilized for various purposes, including demographic research, socio-economic analysis, urban planning, policy formulation, and more. Researchers, data scientists, and analysts can explore and derive valuable insights from this dataset.
Update Frequency The dataset is based on the Pakistan Census 2017, and no further updates or revisions have been released beyond the final census results published in 2021.
License The dataset is made available under the Open Database License (ODbL). Users are encouraged to attribute the Pakistan Bureau of Statistics (PBS) as the source of the data when utilizing it for research or analysis.
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Government Spending in Pakistan increased to 1152273 PKR Million in the first quarter of 2025 from 952807 PKR Million in the fourth quarter of 2024. This dataset provides - Pakistan Government Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.
Climate change is affecting the world and Pakistan is no different. This is the first of its kind dataset for average temperature in the country for the last 116 years.
This is the largest retail e-commerce orders dataset from Pakistan. It contains half a million transaction records from March 2016 to August 2018.
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Context: The 2019–20 coronavirus pandemic was confirmed to have reached Pakistan on 26 February 2020, when a student in Karachi tested positive upon returning from Iran. By 18 March, cases had been registered in all four provinces, the two autonomous territories, and the federal territory of Islamabad. The dataset is completely acquired from NIH Publications, Governmental resources and extra mile contacts. The dataset reflects at provincial level and details from all the aspects. Complete details can be visualized at hyperurl.co/pakcovid Content: The dataset contains chronological seven tabs and 80+ columns with data ranging from Suspected Cases Last Date Suspected Cases Last 24 Hrs Suspected Cases Cumulative Lab Tests Last 24 Hrs Lab Tests Cumulative Confirmed Cases Last Date Confirmed Cases Last 24 Hrs Confirmed Cases Cumulative Deaths Last Date Deaths Last 24 Hrs Deaths Cumulative Transmission Total Transmission Foreign - Iran Transmission Foreign - Iran % Transmission Foreign - Other Transmission Foreign - Other % Transmission Local - Tableegh Transmission Local % - Tableegh Transmission Local - Others Transmission Local % - Others Transmission Local Transmission Local % Total Hospitals Beds for COVID Total Admitted Admitted Stable Admitted Critical Admitted Ventilator Home Quarantine Recovered Death Quarantine Facilities Last 24 Hrs Arrival Last 24 Hrs (Location) Last 24 Hrs Departure Cumulative Quarantined Number of Tests Results Achieved Test Positive Cases Test Positive Cases % Confirmed HW - Active Doctors Confirmed HW - Active Nurses Confirmed HW - Active Others Confirmed HW - Active Total Confirmed HW - Active Isolation Confirmed HW - Active Hospital Confirmed HW - Active Hospital Stable Confirmed HW - Active Hospital Ventilator Confirmed HW - Active Recovered Confirmed HW - Active Deaths all at provincial level The first version has the data from first case of February 26 2020 to April 19, 2020. We intend to publish weekly updates Data Source: National Institute of Health website Daily publication Processed via Python Camelot Package. Visit https://github.com/MesumRaza for details on scripting. Acknowledgements: Users are allowed to use, copy, distribute and cite the dataset as follows: “Mesum Raza Hemani, Corona Virus Pakistan Dataset 2020, Kaggle Dataset Repository”
The objective of GEO is to fulfil a vision of a world where decisions and actions are informed by coordinated, comprehensive and sustained Earth Observation (EO). This is being pursued mainly through the added value of co-ordinating existing institutions, organised communities, space agencies, in-situ monitoring agencies, scientific institutions, research centres, universities, modelling centres, technology developers and other groups that deal with one or more aspects of EO. To reach this overarching goal, GEO focuses on capacity development in three dimensions: infrastructure, individuals and institutions. In the field of agriculture, the general goal is to promote the utilization of Earth observations for advancing sustainable agriculture, aquaculture and fisheries. Key issues include early warning, risk assessment, food security, market efficiency and combating desertification. (Source: http://www.research-europe.com/index.php/2011/08/joao-soares-secretariat-expert-for-agriculture-group-on-earth-observations/)
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Graph and download economic data for Index of Human Capital per Person for Pakistan (HCIYISPKA066NRUG) from 1950 to 2019 about Pakistan, capital, and indexes.
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Graph and download economic data for World Uncertainty Index for Pakistan (WUIPAK) from Q1 1952 to Q2 2025 about Pakistan, uncertainty, World, and indexes.
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Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata. DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Africa SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available. Pakistan data available from WorldPop here.
The statistic shows the value of goods imported to Pakistan from 2014 to 2024. In 2024, goods worth around 56.47 billion U.S. dollars were imported to Pakistan.
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Pakistan: Life expectancy, in years: The latest value from 2023 is 67.65 years, an increase from 67.42 years in 2022. In comparison, the world average is 73.65 years, based on data from 196 countries. Historically, the average for Pakistan from 1960 to 2023 is 58.88 years. The minimum value, 44.1 years, was reached in 1960 while the maximum of 67.65 years was recorded in 2023.
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Key information about Pakistan Total Imports Growth
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Pakistan: Percent urban population with access to drinking water: The latest value from 2022 is 56.8 percent, an increase from 56.2 percent in 2021. In comparison, the world average is 69.9 percent, based on data from 93 countries. Historically, the average for Pakistan from 2000 to 2022 is 50.6 percent. The minimum value, 46.2 percent, was reached in 2000 while the maximum of 56.8 percent was recorded in 2022.
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Key information about Pakistan Public Consumption: % of GDP
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Pakistan PK: PM2.5 Air Pollution: Mean Annual Exposure: Micrograms per Cubic Meter data was reported at 75.751 mcg/Cub m in 2016. This records an increase from the previous number of 75.081 mcg/Cub m for 2015. Pakistan PK: PM2.5 Air Pollution: Mean Annual Exposure: Micrograms per Cubic Meter data is updated yearly, averaging 64.291 mcg/Cub m from Dec 1990 (Median) to 2016, with 11 observations. The data reached an all-time high of 75.751 mcg/Cub m in 2016 and a record low of 61.429 mcg/Cub m in 2010. Pakistan PK: PM2.5 Air Pollution: Mean Annual Exposure: Micrograms per Cubic Meter 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: Environment: Pollution. Population-weighted exposure to ambient PM2.5 pollution is defined as the average level of exposure of a nation's population to concentrations of suspended particles measuring less than 2.5 microns in aerodynamic diameter, which are capable of penetrating deep into the respiratory tract and causing severe health damage. Exposure is calculated by weighting mean annual concentrations of PM2.5 by population in both urban and rural areas.; ; Brauer, M. et al. 2016, for the Global Burden of Disease Study 2016.; Weighted average;
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Pakistan PK: International Tourism: Number of Arrivals data was reported at 966,000.000 Person in 2012. This records a decrease from the previous number of 1,161,000.000 Person for 2011. Pakistan PK: International Tourism: Number of Arrivals data is updated yearly, averaging 602,500.000 Person from Dec 1995 (Median) to 2012, with 18 observations. The data reached an all-time high of 1,161,000.000 Person in 2011 and a record low of 369,000.000 Person in 1996. Pakistan PK: International Tourism: Number of Arrivals 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: Tourism Statistics. International inbound tourists (overnight visitors) are the number of tourists who travel to a country other than that in which they have their usual residence, but outside their usual environment, for a period not exceeding 12 months and whose main purpose in visiting is other than an activity remunerated from within the country visited. When data on number of tourists are not available, the number of visitors, which includes tourists, same-day visitors, cruise passengers, and crew members, is shown instead. Sources and collection methods for arrivals differ across countries. In some cases data are from border statistics (police, immigration, and the like) and supplemented by border surveys. In other cases data are from tourism accommodation establishments. For some countries number of arrivals is limited to arrivals by air and for others to arrivals staying in hotels. Some countries include arrivals of nationals residing abroad while others do not. Caution should thus be used in comparing arrivals across countries. The data on inbound tourists refer to the number of arrivals, not to the number of people traveling. Thus a person who makes several trips to a country during a given period is counted each time as a new arrival.; ; World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.; Gap-filled total;
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Pakistan recorded a capital and financial account deficit of 2558 USD Million in the second quarter of 2025. This dataset provides - Pakistan Capital Flows- actual values, historical data, forecast, chart, statistics, economic calendar and news.
Access Pakistan trade data with updated export-import records. Discover major products, top buyers and suppliers, HS codes, and real-time shipment data.
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Tingkat Pengangguran Pakistan dilaporkan sebesar 6.30 % pada 2021. Rekor ini turun dibanding sebelumnya yaitu 6.90 % untuk 2019. Data Tingkat Pengangguran Pakistan diperbarui tahunan, dengan rata-rata 5.80 % dari 1980 sampai 2021, dengan 39 observasi. Data ini mencapai angka tertinggi sebesar 8.27 % pada 2003 dan rekor terendah sebesar 3.04 % pada 1986. Data Tingkat Pengangguran Pakistan tetap berstatus aktif di CEIC dan dilaporkan oleh Pakistan Bureau of Statistics. Data dikategorikan dalam Pakistan Global Database – Table PK.G002: Labour Force Survey: Population, Labour Force, Employment and Unemployment.
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Money supply, billion currency units in Pakistan, June, 2025 The most recent value is 41052.28 billion Pakistan Rupee as of June 2025, an increase compared to the previous value of 38083.56 billion Pakistan Rupee. Historically, the average for Pakistan from June 2008 to June 2025 is 15746.94 billion Pakistan Rupee. The minimum of 4431.5 billion Pakistan Rupee was recorded in July 2008, while the maximum of 41052.28 billion Pakistan Rupee was reached in June 2025. | TheGlobalEconomy.com
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Pakistan Census 2017 Dataset
Description This dataset comprises data related to Pakistan's national census conducted in 2017. It includes final census results, population figures, household data, and administrative unit statistics. The census was carried out by the Pakistan Bureau of Statistics (PBS) between March 15, 2017, and May 25, 2017.
The dataset provides valuable insights into Pakistan's population, demographic characteristics, urbanization, ethnic diversity, religious composition, literacy, employment, housing, and more. It is a comprehensive resource for researchers, analysts, and data enthusiasts interested in exploring and analyzing various aspects of Pakistan's census.
Content The dataset includes the following files:
Pakistan_2017_Census_final.csv: Final census results at the tehsil (administrative unit) level.
The dataset was compiled from official releases by the Pakistan Bureau of Statistics (PBS) and is made available on Kaggle for wider access and analysis. The PBS conducted the census and provided the necessary data for this dataset.
Usage This dataset can be utilized for various purposes, including demographic research, socio-economic analysis, urban planning, policy formulation, and more. Researchers, data scientists, and analysts can explore and derive valuable insights from this dataset.
Update Frequency The dataset is based on the Pakistan Census 2017, and no further updates or revisions have been released beyond the final census results published in 2021.
License The dataset is made available under the Open Database License (ODbL). Users are encouraged to attribute the Pakistan Bureau of Statistics (PBS) as the source of the data when utilizing it for research or analysis.