{"geometry": {"type": "MultiPolygon", "coordinates": [[[[75.32261, 32.32444], [74.48873, 31.72159], [74.6328, 31.46211], [74.30748, 30.84888], [73.87041, 30.38741], [73.9334, 30.136], [73.39749, 29.94277], [72.95026, 29.04], [72.38971, 28.785], [71.89694, 27.96194], [70.74248, 27.72805], [70.48067, 28.04555], [69.58353, 27.17798], [69.51131, 26.74875], [70.18727, 26.52388], [70.12289, 25.91069], [70.65991, 25.70326], [70.67769, 25.40312], [71.07742, 24.68046], [70.02026, 24.17069], [68.7447, 24.29528], [68.74721, 23.96999], [68.1978, 23.76669], [67.50228, 23.89191], [67.1511, 24.61305], [66.65138, 24.82854], [66.73929, 25.16666], [66.27793, 25.44197], [64.60123, 25.25208], [63.74513, 25.38541], [63.42916, 25.215], [62.47916, 25.24652], [61.84485, 25.03736], [61.61103, 25.19765], [61.87097, 26.24402], [62.77027, 26.64875], [63.18513, 26.63916], [63.20193, 27.26764], [62.83971, 27.47444], [62.75916, 27.99527], [62.39985, 28.41944], [61.65138, 28.78527], [61.31444, 29.39583], [60.8663, 29.86366], [62.48444, 29.40611], [64.3797, 29.55361], [65.03415, 29.54111], [66.25665, 29.85194], [66.40026, 30.94347], [66.88081, 31.2925], [67.38472, 31.21527], [68.16363, 31.82934], [68.82777, 31.60583], [69.32825, 31.94036], [69.2479, 32.4411], [69.55998, 33.07964], [70.2279, 33.2511], [69.99992, 34.05195], [70.48179, 33.9436], [71.08117, 34.05617], [71.09193, 34.66853], [71.4938, 34.9577], [71.64832, 35.42818], [71.18971, 36.05211], [72.5786, 36.82543], [73.82478, 36.89698], [73.37488, 36.74886], [72.55276, 36.23132], [72.51389, 35.91054], [73.10637, 35.85333], [73.78026, 35.52246], [74.08954, 35.02407], [73.40082, 34.40471], [73.5836, 33.89441], [73.62831, 33.09471], [74.53166, 32.75027], [74.73832, 32.46652], [75.32261, 32.32444]]]]}, "type": "Feature", "properties": {"url": "/group/pak", "name": "Pakistan"}, "id": "PAK"}
127
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Time Period of the Dataset [?]: June 01, 2021-June 01, 2021
... More
Modified [?]: 24 December 2021
Dataset Added on HDX [?]: 21 June 2021
This dataset updates: Every six months
Pakistan district wise Total IDPs from areas of origin and by host location
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Time Period of the Dataset [?]: January 01, 2021-December 31, 2021
... More
Modified [?]: 8 December 2021
Confirmed [?]: 8 December 2021
Dataset Added on HDX [?]: 8 December 2021
This dataset updates: Every year
This dataset contains the people in need by sector and area. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners.
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Time Period of the Dataset [?]: January 01, 2019-April 18, 2024
... More
Modified [?]: 4 December 2021
Dataset Added on HDX [?]: 14 February 2019
This dataset updates: Live
Live list of active aid activities for Pakistan shared via the International Aid Transparency Initiative (IATI). Includes both humanitarian and development activities. More information on each activity (including financial data) is available from
http://www.d-portal.org
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2100+ Downloads
Time Period of the Dataset [?]: March 24, 2021-March 24, 2021
... More
Modified [?]: 31 August 2021
Dataset Added on HDX [?]: 24 March 2021
This dataset updates: As needed
Facebook and Columbia University - CIESIN provide the High Resolution Settlement Layer as the world's most accurate population datasets. More info can be found here:
https://dataforgood.fb.com/tools/population-density-maps/
These maps are the distribution of human population spanning Pakistan and India. Each of the 13 TIFF files is a 10 x 10 degree tile (the lower latitude coordinate and longitude coordinates are in the file name). A VRT file is also included.
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5400+ Downloads
Time Period of the Dataset [?]: August 14, 2017-August 14, 2017
... More
Modified [?]: 28 August 2021
Dataset Added on HDX [?]: 13 August 2017
This dataset updates: Never
Alhasan Systems Private Limited is proudly sharing with you Pakistan's complete Union Council Boundaries on the 70th Independence Day of Pakistan.
This data will remain the only public version of UCs boundaries for all Pakistan citizens and organization both public and private and researchers around the world until a more authentic version become available from the concerned institution.
Dear GIS/ IM professionals. This UC boundary is compiled from data mining of public sources, and you are encouraged to use it in your projects. We request you to bring enhancement to this dataset and make them public on HDX as a newer version for the larger benefit.
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10000+ Downloads
Time Period of the Dataset [?]: January 01, 1990-August 15, 2021
... More
Modified [?]: 22 August 2021
Dataset Added on HDX [?]: 15 April 2015
This dataset updates: Never
This no longer updated dataset contains Global Food Prices data from the World Food Programme covering foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
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50+ Downloads
Time Period of the Dataset [?]: November 04, 2020-November 27, 2020
... More
Modified [?]: 30 June 2021
Dataset Added on HDX [?]: 4 July 2021
This dataset updates: Never
THE CBI PDM Household Survey was conducted in Pakistan in November, 2020. UNCHR Pakistan has always been at the front line of dealing with the Afghan refugee crisis. In the wake of Covid-19 pandemic and its far lasting financial impacts, UNHCR Pakistan has rolled out an Emergency Cash Assistance Program to help refugees meet their basic needs and to mitigate harsh socio-economic impacts in the time of crises and countrywide lockdowns. UNHCR implemented a one-off emergency cash assistance to vulnerable refugee and asylum seeker families to help meet their basic needs including food, rent, and access to essential supplies and services. This large-scale cash distribution required an independent third-party post distribution monitoring (PDM) to confirm whether the beneficiaries have received their entitled cash payment and also to clarify the mode of utilization of cash, whether it has been shared, spent, or saved.
UNHCR uses Post-Distribution Monitoring (PDM) as a mechanism to collect refugees' feedback on the quality, sufficiency, utilization and effectiveness of the assistance items they receive. The underlying principle behind the process is linked to accountability, as well as a commitment to improve the quality and relevance of support provided, and related services. UNHCR increasingly uses Cash-Based Interventions (CBIs) as a preferred modality for delivering assistance, offering greater dignity and choice to forcibly displaced and stateless persons in line with UNHCR's core protection mandate. In order to ensure that the cash assistance provided meets the intended programme objectives and that desired outcomes are achieved, UNHCR conducts regular post-distribution and outcome monitoring with a sample or all of refugee recipients.
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90+ Downloads
Time Period of the Dataset [?]: June 01, 2021-June 01, 2021
... More
Modified [?]: 24 June 2021
Confirmed [?]: 28 January 2022
Dataset Added on HDX [?]: 24 June 2021
This dataset updates: Every six months
Pakistan district wise Returnees with PCodes
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Time Period of the Dataset [?]: January 01, 2018-December 31, 2018
... More
Modified [?]: 21 June 2021
Confirmed [?]: 4 January 2022
Dataset Added on HDX [?]: 21 June 2021
This dataset updates: As needed
The 2018 Pakistan National Nutrition Survey (NNS 2018) is the largest national nutrition survey carried out in Pakistan. It is designed to provide policymakers, programme managers and academicians a unique set of nutrition-related data including environmental, anthropometric and biochemical indicators. The study group included children, women of reproductive age (WRA) and adolescent boys and girls. NNS 2018 is the fifth national nutrition survey since 1965, but the first to yield district-representative data and to include adolescents and a component on water.
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200+ Downloads
Time Period of the Dataset [?]: June 01, 2021-June 01, 2021
... More
Modified [?]: 16 June 2021
Confirmed [?]: 26 January 2022
Dataset Added on HDX [?]: 16 June 2021
This dataset updates: Every six months
Remaining Afghan Refugee population as of 31st Dec 2020. The data set includes
Summary,
District wise population,
Break down by ethnicity,
Break down by gender.
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300+ Downloads
Time Period of the Dataset [?]: March 01, 2020-December 31, 2020
... More
Modified [?]: 15 April 2021
Dataset Added on HDX [?]: 15 April 2021
This dataset updates: Every three months
Under the leadership of UNDP and DCO, an inter-agency task team developed the UN framework for the immediate socio-economic response to COVID-19 (adopted in April 2020) to govern its response over 12 to 18 months. To measure the UN’s support to the socio-economic response and recovery, UN entities developed a simple monitoring framework with 18 programmatic indicators (endorsed by the UNSDG in July 2020). Lead entities – based on their mandate and comparative advantage – were nominated to lead the development of methodological notes for each indicator and lead the collection of data at the country level. These lead entities reported through the Office of the Resident Coordinators the collective UN results on a quarterly basis through UN Info. All 2020 data was reported by March 2021. This is the UN development system’s first comprehensive attempt at measuring its collective programming contribution and results.
These programmatic indicators enabled the UN system to monitor the progress and achievements of UNCT’s collective actions in socio-economic response. In support of the Secretary-General’s call for a "… single, consolidated dashboard to provide up-to-date visibility on [COVID-19] activities and progress across all pillars” all data was published in real time on the COVID-19 data portal, hosted by DCO. The data is disaggregated by geography (rural/urban), sex, age group and at-risk populations -- to measure system-wide results on the socio-economic response to the pandemic, in order to ensure UNDS accountability and transparency for results.
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Time Period of the Dataset [?]: November 20, 2020-November 20, 2020
... More
Modified [?]: 4 March 2021
Dataset Added on HDX [?]: 20 November 2020
This dataset updates: As needed
Data on access constraints, aid workers security, % of affected CERF and CBPF projects combined with the status of Polio vaccination in the HRP countries.
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300+ Downloads
Time Period of the Dataset [?]: January 01, 2000-December 31, 2020
... More
Modified [?]: 16 September 2020
Dataset Added on HDX [?]: 20 July 2017
This dataset updates: Every year
WorldPop produces different types of gridded population count datasets, depending on the methods used and end application.
Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset.
Bespoke methods used to produce datasets for specific individual countries are available through the WorldPop Open Population Repository (WOPR) link below.
These are 100m resolution gridded population estimates using customized methods ("bottom-up" and/or "top-down") developed for the latest data available from each country.
They can also be visualised and explored through the woprVision App.
The remaining datasets in the links below are produced using the "top-down" method,
with either the unconstrained or constrained top-down disaggregation method used.
Please make sure you read the Top-down estimation modelling overview page to decide on which datasets best meet your needs.
Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 100m and 1km at the equator, respectively):
- Unconstrained individual countries 2000-2020 ( 1km resolution ): Consistent 1km resolution population count datasets created using
unconstrained top-down methods for all countries of the World for each year 2000-2020.
- Unconstrained individual countries 2000-2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using
unconstrained top-down methods for all countries of the World for each year 2000-2020.
- Unconstrained individual countries 2000-2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using
unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019)
-Unconstrained individual countries 2000-2020 UN adjusted ( 1km resolution ): Consistent 1km resolution population count datasets created using
unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019).
-Unconstrained global mosaics 2000-2020 ( 1km resolution ): Mosaiced 1km resolution versions of the "Unconstrained individual countries 2000-2020" datasets.
-Constrained individual countries 2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using
constrained top-down methods for all countries of the World for 2020.
-Constrained individual countries 2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using
constrained top-down methods for all countries of the World for 2020 and adjusted to match United Nations national
population estimates (UN 2019).
Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing "top-down" methods and time periods are still available for download here: Individual countries and Whole Continent.
Data for earlier dates is available directly from WorldPop.
WorldPop (
www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076).
https://dx.doi.org/10.5258/SOTON/WP00645
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100+ Downloads
Time Period of the Dataset [?]: August 31, 2020-August 31, 2020
... More
Modified [?]: 2 September 2020
Dataset Added on HDX [?]: 22 July 2020
This dataset updates: Every two weeks
This dataset contains scores for humanitarian access constraints into country, constraints within country, impacts the constraints have led to as well as the mitigation strategies in place to limit the impact.
The scores have the following interpretations:
0 = NA,
1 = No or open,
2 = partially open/closed,
3 = Yes or closed
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Time Period of the Dataset [?]: March 19, 2020-March 19, 2020
... More
Modified [?]: 29 July 2020
Confirmed [?]: 12 October 2020
Dataset Added on HDX [?]: 19 March 2020
This dataset updates: Never
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Time Period of the Dataset [?]: January 22, 2020-March 09, 2023
... More
Modified [?]: 28 July 2020
Dataset Added on HDX [?]: 7 February 2020
This dataset updates: As needed
JHU Has Stopped Collecting Data As Of 03/10/2023
After three years of around-the-clock tracking of COVID-19 data from around the world, Johns Hopkins has discontinued the Coronavirus Resource Center’s operations.
The site’s two raw data repositories will remain accessible for information collected from 1/22/20 to 3/10/23 on cases, deaths, vaccines, testing and demographics.
Novel Corona Virus (COVID-19) epidemiological data since 22 January 2020. The data is compiled by the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) from various sources including the World Health Organization (WHO), DXY.cn, BNO News, National Health Commission of the People’s Republic of China (NHC), China CDC (CCDC), Hong Kong Department of Health, Macau Government, Taiwan CDC, US CDC, Government of Canada, Australia Government Department of Health, European Centre for Disease Prevention and Control (ECDC), Ministry of Health Singapore (MOH), and others. JHU CCSE maintains the data on the 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository on Github.
Fields available in the data include Province/State, Country/Region, Last Update, Confirmed, Suspected, Recovered, Deaths.
On 23/03/2020, a new data structure was released. The current resources for the latest time series data are:
time_series_covid19_confirmed_global.csv
time_series_covid19_deaths_global.csv
time_series_covid19_recovered_global.csv
---DEPRECATION WARNING---
The resources below ceased being updated on 22/03/2020 and were removed on 26/03/2020:
time_series_19-covid-Confirmed.csv
time_series_19-covid-Deaths.csv
time_series_19-covid-Recovered.csv
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Time Period of the Dataset [?]: January 01, 2008-April 18, 2024
... More
Modified [?]: 27 July 2020
Dataset Added on HDX [?]: 28 April 2014
This dataset updates: Live
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500+ Downloads
Time Period of the Dataset [?]: January 01, 2000-December 31, 2020
... More
Modified [?]: 22 June 2020
Dataset Added on HDX [?]: 24 November 2020
This dataset updates: Every year
WorldPop produces different types of gridded population count datasets, depending on the methods used and end application.
Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset.
Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc-seconds (approximately 1km at the equator)
-Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding
Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area.
These are produced using the unconstrained top-down modelling method.
-Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding
Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel,
adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area.
These are produced using the unconstrained top-down modelling method.
Data for earlier dates is available directly from WorldPop.
WorldPop (
www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076).
https://dx.doi.org/10.5258/SOTON/WP00674
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Time Period of the Dataset [?]: January 01, 2017-January 01, 2017
... More
Modified [?]: 23 November 2018
Dataset Added on HDX [?]: 23 November 2018
This dataset updates: As needed
The dataset contains the settlements/ location in Pakistan with Province, District and Tehsil details. The source of the dataset is World Gazetter- National Geospatial-Intelligence Agency.
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1600+ Downloads
Time Period of the Dataset [?]: January 01, 2000-December 31, 2020
... More
Modified [?]: 1 November 2018
Dataset Added on HDX [?]: 27 May 2019
This dataset updates: Every year
WorldPop produces different types of gridded population count datasets, depending on the methods used and end application.
Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset.
A description of the modelling methods used for age and sex structures can be found in
Tatem et al and
Pezzulo et al. Details of the input population count datasets used can be found here, and age/sex structure proportion datasets here.
Both top-down 'unconstrained' and 'constrained' versions of the datasets are available, and the differences between the two methods are outlined
here. The datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The unconstrained datasets are available for each year from 2000 to 2020.
The constrained datasets are only available for 2020 at present, given the time periods represented by the building footprint and built settlement datasets used in the mapping.
Data for earlier dates is available directly from WorldPop.
WorldPop (
www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076).
https://dx.doi.org/10.5258/SOTON/WP00646
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1500+ Downloads
Time Period of the Dataset [?]: September 01, 2012-September 01, 2012
... More
Modified [?]: 16 August 2018
Dataset Added on HDX [?]: 26 October 2015
This dataset updates: Every year
List of Health Assessed Facilities with Location
The dataset is based on the assessments and Health Resources Availability and Mapping (HeRAM) carried out by World Health Organization (WHO) in collaboration with health cluster partners during different emergencies in Pakistan. Please note that it is not necessary that the assessment covered all the health facilities in a particular district.
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2000+ Downloads
Time Period of the Dataset [?]: January 01, 2012-January 01, 2012
... More
Modified [?]: 16 August 2018
Dataset Added on HDX [?]: 26 October 2015
This dataset updates: Every year
List of First Level Care Health Facilities in Pakistan reported by the District Health Information System (DHIS)
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Time Period of the Dataset [?]: January 01, 2010-January 01, 2010
... More
Modified [?]: 16 August 2018
Dataset Added on HDX [?]: 26 October 2015
This dataset updates: Every year
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300+ Downloads
Time Period of the Dataset [?]: June 01, 2018-June 01, 2018
... More
Modified [?]: 25 June 2018
Dataset Added on HDX [?]: 25 June 2018
This dataset updates: Never
Polling Station of Pakistan compiled by ALHASAN SYSTEMS Private Limited as one of its R&D projects and in the public interest.
ALHASAN SYSTEMS made these Polling Stationpublic before Pakistan’s General Election 2018in its Open Data/ Open Access [OD/OA] Seminar on May 5, 2013. This data is used thoroughly in Pakistan by many stakeholders and researchers including UN and other donor agencies. For further details on the use of this data please download Alhasan Systems monthly Election Bulletins from [http://www.alhasan.com/bulletins/election].
ALHASAN SYSTEMS is a privately owned development company with a history that goes back to 1990. At present is registered in Pakistan and Canada. This hi-tech knowledge management, business psychology modeling, and publishing company is constantly contributing its data and services to both humanitarian and developmental causes through its Public/ Private Partnership [PPP] SKIM and ODOA initiatives. ALHASAN SYSTEMS strives to provide the most cost effective solutions and services, which not only serve its clients’ immediate requirements but also contribute to the much larger cause of community welfare and development. Its area of professional services spreads from environment, energy, health, natural resources, critical infrastructure, utilities management, tourism, and investments, to community development and crisis management. ALHASAN SYSTEMS corporate roadmap focuses on new trends in the field of Geomatics Engineering, Geo-engineering, Data Management, Bio Interfacing, Business Psychology Modeling, Hi-tech publishing, e-Learning, and Smart Power Gridding and Engineering Services. This is possible when fairly serious ecological, political, and moral ramifications are addressed strategically. That’s why social awareness, advocacy, and capacity building remain at the heart of ALHASAN SYSTEMS.
ALHASAN SYSTEMS constantly update its data in relation to its projects and also as a service to larger public bodies as well as research community to promote its pioneering 100% self-financed Open Data/ Open Access [OD/OA] initiative in Pakistan. We also share a number of additional layers and thousands of maps each year free-of-cost in the larger public interest.
All our data are made available through Pakistan’s only Metadata portal [www.geopakistan.pk] launched in 2012 by iMMAP in collaboration with its partners under USAID funding. This portal is now hosted and maintained at NED University of Engineering & Technology with hundreds of registered researchers in Pakistan.
Alhasan Systems is also a United Nations Humanitarian Data Exchange Portal [https://data.hdx.rwlabs.org/] member agency and share its resources through HDX for larger humanitarian benefits.
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20+ Downloads
Time Period of the Dataset [?]: January 01, 2014-December 31, 2018
... More
Modified [?]: 5 May 2018
Dataset Added on HDX [?]: 27 May 2019
This dataset updates: Every year
The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of pregnancies to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age, age-specific fertility rates, still births and abortions to map the estimated distributions of pregnancies for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al and James et al..
Data for earlier dates is available directly from WorldPop.
WorldPop (
www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2018. Pakistan 1km Pregnancies. Version 2.0 2015 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (
http://www.guttmacher.org) DOI: 10.5258/SOTON/WP00623
