3 datasets found
  1. a

    8.5.1 Gross Regional Domestic Product

    • mapstat-psa.opendata.arcgis.com
    Updated Aug 23, 2017
    + more versions
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    astig_msantiago (2017). 8.5.1 Gross Regional Domestic Product [Dataset]. https://mapstat-psa.opendata.arcgis.com/items/752dcfbd3e784b4491537765932fd488
    Explore at:
    Dataset updated
    Aug 23, 2017
    Dataset authored and provided by
    astig_msantiago
    Area covered
    Description

    Annual growth rate of real Gross Regional Domestic Product (GDP) per capita is calculated as the percentage change in the real GDP per capita between two consecutive years. Real GDP per capita is calculated by dividing GDP at constant prices by the population of a country.Map Displays at Scale: 1:100 to 1:12,000,000. Download detailed metadata about Philippine SDG 8.

  2. f

    Quarterly Aquaculture Survey 2015 - Philippines

    • microdata.fao.org
    Updated Jan 31, 2023
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    Philippine Statistics Authority (PSA) (2023). Quarterly Aquaculture Survey 2015 - Philippines [Dataset]. https://microdata.fao.org/index.php/catalog/1057
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    Dataset updated
    Jan 31, 2023
    Dataset authored and provided by
    Philippine Statistics Authority (PSA)
    Time period covered
    2015
    Area covered
    Philippines
    Description

    Abstract

    The Quarterly Aquaculture Survey (QAS) is a quarterly survey that generates aquaculture production and area estimates. It investigates the actual level of production, area harvested and price for each species during the reference quarter of the current and previous year from the sample operators in the top producing municipalities. Fisheries outputs form part of the estimation for the performance of agriculture and eventually, of the National Accounts for the generation of Gross Value Added (GVA), Gross National Product (GNP) and Gross Domestic Product (GDP).

    The survey aims to generate accurate and timely information on quarterly production, area and price by aquafarm type and species at the provincial level.

    Geographic coverage

    National Coverage.

    Analysis unit

    Entreprises

    Universe

    It covers aquaculture operations in 82 provinces of 17 aquaculture species in 13 aquafarm types/environments. The following are the aquafarm types and environments covered, however, it depends on which is available in the province:

    a. Brackish water and fresh water fishpond b. Brackish water, fresh water and marine pen and cage c. Oyster, mussel and seaweed d. Other fresh water aquafarms like rice fish, small farm reservoirs, etc.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The Quarterly Aquaculture Survey (QAS) is a non-probability survey. Sampling was done by aquafarm type in the province. By aquafarm type, top producing municipalities are those with cumulative share of at least 80% to total area based on Aquaculture Farms Inventory (AqFI).

    For each municipality, eight (8) sample aquafarms are selected if the number of aquafarms in the municipality is more than 25. If the number of aquafarms is less than 25, five (5) sample aquafarms are selected. A total of 6662 sample aquafarms were covered nationwide.

    Mode of data collection

    Face-to-face paper [f2f]

    Cleaning operations

    Initially, the survey returns are manually edited to ensure completeness and accuracy. During this stage, survey returns are checked for completeness from the list of samples. For each of the questionnaires, entries should be complete and numeric entries are in proper unit of measurement and decimal places. After encoding, the entries are then again inspected and reviewed for completeness, accuracy and consistency with other items.

    An Aquaculture Data Generation System (AquaDataGen) was developed using MS Excel 2013 for the data processing requirements of QAS. This system is decentralized in the provinces but regional and national summary can also be derived. The AquaDataGen has the facility for data entry, data review and validation.

    Response rate

    Response rate for quarterly aquaculture survey is 73%. This accounted for farms in operation and those without harvest during the reference period.

  3. i

    Labor Turnover Survey 2016 - Philippines

    • catalog.ihsn.org
    Updated Oct 10, 2017
    + more versions
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    Philippine Statistics Authority (PSA) (2017). Labor Turnover Survey 2016 - Philippines [Dataset]. https://catalog.ihsn.org/catalog/7203
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    Dataset updated
    Oct 10, 2017
    Dataset authored and provided by
    Philippine Statistics Authority (PSA)
    Time period covered
    2016 - 2017
    Area covered
    Philippines
    Description

    Abstract

    The Labor Turnover Survey (LTS) aims to generate quarterly data on labor turnover (accession and separation rates) as indicators of labor market activity in large business enterprises.

    The information gathered in this survey is intended to generate timely labor market signals as sound basis in planning, policy formulation and decision making in goverment, business and industry.

    Geographic coverage

    National capital region

    Analysis unit

    Enterprise

    Universe

    The sampling frame for the 2016 LTS is an integrated list from enterprises culled from the 2015 List of Establishments in the NCR prepared by the Philippine Statistics Authority (PSA) and the updated sampling frames of LTS 2014 and LTS 2015. This comprises 16,194 business firms/enterprises with an employment size of at least 20.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The enterprise is the unit of enumeration in the LTS and it has for its sampling domain the eighteen (18) major industry groups (1-digit) based on the 2009 PSIC. The survey covered business enterprises located in the National Capital Region (NCR) to provide a quick and timely assessment of the labor market activity through a sample survey with manageable sample size given the limited budget. NCR accounts for one-third of the country's gross domestic product and about two-thirds of the total large business enterprises in the Philippines.

    The sampling frame for the 2016 LTS is an integrated list from enterprises culled from the 2015 List of Establishment in the NCR prepared by the Philippine Statistics Authority (PSA) in coordination with Service and Industry Census Division (SICD) the updated sampling frames of LTS 2014 and LTS 2015. This comprises 16,194 business firms/enterprises with an employment size of at least 20. This list was obtained and updated prior to the conduct of LTS for the first quarter of 2016. The updated frame was used in the sample size determination and sample selection for the first quarter survey round. The same sample size was retained in all quarters of the year.

    After each survey round, all enterprises that responded are automatically considered as samples for the next survey rounds. To fill up the lack in the computed sample size, samples will be drawn by industry from the updated sampling frame. In cases where there are no enterprises to sample in some industries, the total number of samples needed for these industries will be allocated proportionally to other industries with available samples.

    The sample enterprises in each domain were drawn through simple random sampling.

    Sampling deviation

    Replacement of sample enterprise is done when the sampled enterprise falls in one of the following situation during the field operation: (1) cannot be located; (2) refuse to answer; (3) temporarily closed; (4) duplicate of another sample enterprise; (5) permanently closed; or (6) on strike.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The questionnaire contained the following information:

    1. Name and Address of Enterprise

    2. Main Economic Activity and Major Products/Goods or Services

    3. Item of Information

    I. Employment A. Total Employment ( Month 1. Month 2, Month 3)

    II. Labor Turnover A. Total Accessions (New Hires) 1. Expansion 2. Replacement

    B. Total Separation 1. Employee-initiated 2. Employer-initiated

    III. Agency-hired Workers

    IV. Existing Job Vacancies

    1. Certification of Respondents

    2. Survey Personnel

    Response rate

    1st Qtr - 96.59 % 2nd Qtr - 98.22 % 3rd Qtr - 97.33 % 4th Qtr - 100.00 %

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Click to copy link
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Close
Cite
astig_msantiago (2017). 8.5.1 Gross Regional Domestic Product [Dataset]. https://mapstat-psa.opendata.arcgis.com/items/752dcfbd3e784b4491537765932fd488

8.5.1 Gross Regional Domestic Product

Explore at:
Dataset updated
Aug 23, 2017
Dataset authored and provided by
astig_msantiago
Area covered
Description

Annual growth rate of real Gross Regional Domestic Product (GDP) per capita is calculated as the percentage change in the real GDP per capita between two consecutive years. Real GDP per capita is calculated by dividing GDP at constant prices by the population of a country.Map Displays at Scale: 1:100 to 1:12,000,000. Download detailed metadata about Philippine SDG 8.

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