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.

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.

The territories of Pakistan and India are mostly covered by the non-political blocks AS42 through AS50, going roughly from West to East. Please see the attached map of these non-political boundary blocks.

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: Asia 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: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - VNM_popmap10adj_v2.tif = Vietnam (VNM) population count map for 2010 (popmap10) adjusted to match UN national estimates (adj), version 2 (v2). DATE OF PRODUCTION: January 2013

Tables and graphs based upon population data for 2019 from Pakistan Bureau of Statistics. Population density shown on map is based on Worldpop estimate for 2020

Large format national map estimated showing population density at tehsil level overlaid with flood extents (derived from satellite imagery) of 2 Sept 2010.

Abstract

The survey has been conducted with the aim to provide data for use by the government in formulating the poverty reduction strategy as well as development plans at district level and rapid assessment of programs initiated under Poverty Reduction Strategy Paper and Medium Term Development Framework (MTDF) in the overall context of MDG. The survey provides indicators on Education Health, Population, Welfare, Income and Expenditure, Agricultural and Non-agricultural Activity, Shocks and crises.

Geographic coverage

National coverage

Analysis unit

• Household
• Individual

Universe

The universe of this survey consists of all urban and rural areas of all four provinces, from the scope of the survey.

Kind of data

Sample survey data [ssd]

Sampling procedure

SAMPLING FRAME

Urban area: FBS has developed its own urban area frame. All urban areas comprising cities/ towns have been divided into small compact areas known as enumeration blocks (E.Bs) identifiable through map. Each enumeration block comprises about 200-250 households and categorized into low, middle and high-income group, keeping in view the socio economic status of the majority of households. Urban area sampling frame consists of 26698 enumeration blocks has been updated in 2003.

Rural area: With regard to the rural areas, the lists of villages/mouzas/deh according to Population Census, 1998 have been used as sampling frame. In this frame, each village/mouzas/deh is identifiable by its Name, Had Bast Number, Cadastral map etc. This frame is comprised 50590 villages/mouzas

STRATIFICATION PLAN Urban Areas: Within each district large sized cities having population five lack and above have been treated as independent stratum. Each of these cities has further been sub-stratified into low, middle and high group’s areas. The remaining cities/towns within each district have been grouped together to constitute an independent stratum.

Rural Areas: The entire rural domain of a district for Punjab, Sindh, NWFP and Balochistan provinces has been considered as independent stratum.

Sample Size and its Allocation: To determine optimum sample size for this survey, analytical studies based on the results of Pakistan Demographic Survey, Labour Force and Pakistan Integrated Households Sample Survey were undertaken. Keeping in view the variability exist within the population for the characteristics for which estimates are to be prepared, population distribution, level of estimates and field resources available a sample size of 77488 households enumerated from 5413 sample PSUs (2280 from urban and 3133 from rural areas) has been considered sufficient to produce reliable estimates at district level in respect of all provinces.

Sample Design: A two-stage Stratified Random Sampling scheme was adopted for this survey. Enumeration Blocks in urban areas and villages in rural areas were selected at first stage while households within the sample Enumeration Blocks / Villages were selected at second stage.

Selection of primary sampling Units (PSUs): Enumeration blocks in the urban domain and mouzas/deh/villages in rural domain have been taken as primary sampling units (PSUs). In urban domain sample PSUs from each stratum have been selected by probability proportional to size (PPS) method of sampling scheme using households in each block as measure of size (MOS). Similarly in rural areas, population of each village has taken as MOS for selection of sample villages using probability proportional to size method of selection.

Selection of Secondary Sampling Units (SSUs): Households within each sample Primary Sampling Unit (PSU) have been considered as Secondary Sampling Units (SSUs). 16 and 12 households have been selected from each sample village and enumeration block respectively by systematic sampling scheme with a random start.

Mode of data collection

Face-to-face [f2f]

This map shows the proportion of familes displaced by conflict in the NWFP and FATA provinces of northern Pakistan (pie charts). Background colours show the normal population distribution by family, projected for 2009.

Tariff Structure announced by Government of Pakistan.

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