5 datasets found
  1. M

    Rawalpindi, Pakistan Metro Area Population 1950-2025

    • macrotrends.net
    csv
    Updated Feb 28, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MACROTRENDS (2025). Rawalpindi, Pakistan Metro Area Population 1950-2025 [Dataset]. https://www.macrotrends.net/global-metrics/cities/22054/rawalpindi/population
    Explore at:
    csvAvailable download formats
    Dataset updated
    Feb 28, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1950 - Mar 18, 2025
    Area covered
    Pakistan
    Description

    Chart and table of population level and growth rate for the Rawalpindi, Pakistan metro area from 1950 to 2025. United Nations population projections are also included through the year 2035.

  2. Social and Living Standards Measurement Survey 2005-2006 - Pakistan

    • catalog.ihsn.org
    Updated Mar 29, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Federal Bureau of Statistics (2019). Social and Living Standards Measurement Survey 2005-2006 - Pakistan [Dataset]. https://catalog.ihsn.org/catalog/6845
    Explore at:
    Dataset updated
    Mar 29, 2019
    Dataset provided by
    Pakistan Bureau of Statisticshttp://pbs.gov.pk/
    Authors
    Federal Bureau of Statistics
    Time period covered
    2005 - 2006
    Area covered
    Pakistan
    Description

    Abstract

    The Pakistan Social and Living Standards Measurement Survey (PSLM) 2005-06 is aimed to provide detailed outcome indicators on Education, Health, Population Welfare, Water & Sanitation and Income & Expenditure. The data provided by this survey is used by the government in formulating the policies in social sector initiated under Poverty Reduction Strategy Paper (PRSP) and Medium Term Development Framework (MTDF) in the overall context of MDGs.

    Geographic coverage

    National Coverage

    Analysis unit

    Households and Individuals.

    Universe

    The universe of this survey consists of all urban and rural areas of the four provinces and Islamabad excluding military restricted areas

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Sampling Frame:

    The Federal Bureau of Statistics (FBS) has developed its own urban area frame, which was up-dated in 2003. Each city/town has been divided into enumeration blocks consisting of 200- 250 households identifiable through sketch map. Each enumeration block has been classified into three categories of income groups i.e. low, middle and high keeping in view the living standard of the majority of the people. List of villages published by Population Census Organization obtained as a consequence of Population Census 1998 has been taken as rural frame.

    Stratification Plan:

    A. Urban Domain: Islamabad, Lahore, Gujranwala, Faisalabad, Rawalpindi, Multan, Bahawalpur, Sargodha, Sialkot, Karachi, Hyderabad, Sukkur, Peshawar and Quetta, have been considered as large sized cities. Each of these cities constitute a separate stratum and has further been sub-stratified according to low, middle and high-income groups. After excluding population of large sized city (s), the remaining urban population in each defunct Division in all the provinces has been grouped together to form a stratum.

    B. Rural Domain: Each district in the Punjab, Sindh and NWFP provinces has been grouped together to constitute a stratum. Whereas defunct administrative Division has been treated as stratum in Balochistan province.

    Sample Size and Its Allocation: Keeping in view the objectives of the survey the sample size for the four provinces has been fixed at 15453 households comprising 1109 sample village/ enumeration blocks, which is expected to produce reliable results.

    Sample Design: A two-stage stratified sample design has been adopted in this survey.

    Selection of Primary Sampling Units (PSUs): Villages and enumeration blocks in urban and rural areas respectively have been taken as Primary Sampling Units (PSUs). Sample PSUs have been selected from strata/sub-strata with PPS method of sampling technique.

    Selection of Secondary Sampling Units (SSUs): Households within sample PSUs have been taken as Secondary Sampling Units (SSUs). A specified number of households i.e. 16 and 12 from each sample PSU of rural & urban area have been selected respectively using systematic sampling technique with a random start.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    At both individual and household level, the PSLM Survey collects information on a wide range of topics using an integrated questionnaire. The questionnaire comprises a number of different sections, each of which looks at a particular aspect of household behavior or welfare. Data collected under Round II include education, diarrhea, immunization, reproductive health, pregnancy history, maternity history, family planning, pre and post-natal care and access to basic services.

    Cleaning operations

    Data quality in PSLM Survey has been ensured through built in system of checking of field work by the supervisors in the field as well as teams from the headquarters. Regional/ Field offices ensured the data quality through preliminary editing at their office level. The entire data entry was carried at the FBS headquarter Islamabad and the data entry programme used had a number of in built consistency checks.

    Data appraisal

    To determine the reliability of the estimates, Coefficient of Variation (CV’s) and confidence Limit of important key indicators have been worked out and are attached as Appendix - C of the survey report (provided under Related Materials).

  3. Social and Living Standards Measurement Survey 2014-2015, Round 10 -...

    • catalog.ihsn.org
    Updated Jan 16, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Pakistan Bureau of Statistics (2021). Social and Living Standards Measurement Survey 2014-2015, Round 10 - Pakistan [Dataset]. https://catalog.ihsn.org/catalog/8508
    Explore at:
    Dataset updated
    Jan 16, 2021
    Dataset authored and provided by
    Pakistan Bureau of Statisticshttp://pbs.gov.pk/
    Time period covered
    2014 - 2015
    Area covered
    Pakistan
    Description

    Abstract

    The Pakistan Social and Living Standards Measurement (PSLM) Survey is one of the main mechanisms for monitoring the implementation of the Poverty Reduction Strategy Paper (PRSP). It provides a set of representative, population-based estimates of social indicators and their progress under the PRSP. These include intermediate as well as 'output' measures, which assess what is being provided by the social sectors - enrolment rates in education, for example. They include a range of 'outcome' measures, which assess the welfare of the population - Immunisation Rate, for example.

    An important objective of the PSLM Survey is to try to establish what the distributional impact of PRSP has been. Policymakers need to know, for example, whether the poor have benefited from the programme or whether increased government expenditure on the social sectors has been captured by the better off.

    Geographic coverage

    National, excluding military restricted areas.

    Analysis unit

    • Individual
    • Household

    Universe

    The universe of this survey consists of all urban and rural areas of the four provinces and Islamabad excluding military restricted areas.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Sampling Frame: Pakistan Bureau of Statistics (PBS) has developed its own area sampling frame for both Urban and Rural domains. Each city/town is divided into enumeration blocks. Each enumeration block is comprised of 200 to 250 households on the average with well-defined boundaries and maps. The list of enumeration blocks are updated from field on the prescribed proforma by Quick Count technique for urban domain in 2013 and the updated list of villages/mouzas/dehs or its part (block), based on House Listing 2011 for conduct of Population Census are taken as sampling frames. Enumeration blocks are considered as Primary Sampling Units (PSUs) for urban and rural domains respectively.

    Stratification Plan Urban Domain: Large cities Karachi, Lahore, Gujranwala, Faisalabad, Rawalpindi, Multan, Sialkot, Sargodha, Bahawalpur, Hyderabad, Sukkur, Peshawar, Quetta and Islamabad are considered as large cities. Each of these cities constitutes a separate stratum, further substratified according to low, middle and high income groups based on the information collected in respect of each enumeration block at the time of demarcation/ updating of urban area sampling frame. Remaining Urban Areas: In all the four provinces after excluding the population of large cities from the population of an administrative division, the remaining urban population is grouped together to form a stratum. Rural Domain: Each administrative district for all four provinces namely Punjab, Sindh, Khyber Pakhtunkhwa (KP) and Balochistan is considered as an independent stratum.

    Selection of primary sampling units (PSUs): Enumeration blocks in both Urban and rural domains are taken as Primary Sampling Units (PSUs). Sample PSUs from each ultimate stratum/sub-stratum are selected with probability proportional to size (PPS) method of sampling scheme. In both Urban and Rural domains, the number of households in an enumeration block is considered as measure of size.

    Selection of secondary sampling units (SSUs): The listed households of sample PSUs are taken as Secondary Sampling Units (SSUs). A specified number of households i.e. 12 from each urban sample PSU and 16 from rural sample PSU are selected with equal probability using systematic sampling technique with a random start.

    Sample Size and its Allocation: Keeping in view the objectives of the survey, the sample size for the four provinces has been fixed at 5428 sample blocks (PSU’s) comprising 81,992 households (SSU’s), which is expected to produce reliable results at the district level.

    Detailed sampling plan is attached as Appendix A of the survey report.

    Sampling deviation

    It is worth mentioning here that Panjgur district of Balochistan was dropped from the scope of the survey at the allocation stage due to prevailing situation in Panjgur district. While 7 PSUs from Sindh, 13 PSUs from KP and 82 PSUs from Balochistan province ( including Kech district) were dropped from the scope of the survey during execution of the survey due to law and order situation.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    At both individual and household level, the PSLM Survey collects information on a wide range of topics using an integrated questionnaire. The questionnaire comprises a number of different sections, each of which looks at a particular aspect of household behavior or welfare. Data collected under Round X includes Education, Health, Water & Sanitation and Household Economic Situation & Satisfaction by facilities and services use.

    Cleaning operations

    Data quality in PSLM Survey has been ensured through built in system of checking of fieldwork by the supervisors in the field as well as teams from the headquarters. Regional/ Field offices ensured the data quality through preliminary editing at their office level. The entire data entry was carried out at the PBS headquarter Islamabad and the data entry programme used had a number of in built consistency checks.

  4. f

    Change in landuse land cover (LULC) Classes in Islamabad-Rawalpindi City...

    • figshare.com
    xls
    Updated Mar 10, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Sidra Aman Rana; Syeda Maria Ali; Muhammad Ashraf; Naveed Iqbal Gondal; Sadia Rahman; Nadia Akhtar (2025). Change in landuse land cover (LULC) Classes in Islamabad-Rawalpindi City (1999–2019). [Dataset]. http://doi.org/10.1371/journal.pone.0293927.t007
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Mar 10, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Sidra Aman Rana; Syeda Maria Ali; Muhammad Ashraf; Naveed Iqbal Gondal; Sadia Rahman; Nadia Akhtar
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Islamabad, Rawalpindi
    Description

    Change in landuse land cover (LULC) Classes in Islamabad-Rawalpindi City (1999–2019).

  5. f

    Detailed summary of daily water production in Islamabad City.

    • plos.figshare.com
    xls
    Updated Mar 10, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Sidra Aman Rana; Syeda Maria Ali; Muhammad Ashraf; Naveed Iqbal Gondal; Sadia Rahman; Nadia Akhtar (2025). Detailed summary of daily water production in Islamabad City. [Dataset]. http://doi.org/10.1371/journal.pone.0293927.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Mar 10, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Sidra Aman Rana; Syeda Maria Ali; Muhammad Ashraf; Naveed Iqbal Gondal; Sadia Rahman; Nadia Akhtar
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Islamabad
    Description

    Detailed summary of daily water production in Islamabad City.

  6. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
MACROTRENDS (2025). Rawalpindi, Pakistan Metro Area Population 1950-2025 [Dataset]. https://www.macrotrends.net/global-metrics/cities/22054/rawalpindi/population

Rawalpindi, Pakistan Metro Area Population 1950-2025

Rawalpindi, Pakistan Metro Area Population 1950-2025

Explore at:
csvAvailable download formats
Dataset updated
Feb 28, 2025
Dataset authored and provided by
MACROTRENDS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Dec 31, 1950 - Mar 18, 2025
Area covered
Pakistan
Description

Chart and table of population level and growth rate for the Rawalpindi, Pakistan metro area from 1950 to 2025. United Nations population projections are also included through the year 2035.

Search
Clear search
Close search
Google apps
Main menu