5 datasets found
  1. Dwelling characteristics and household equipment at time of interview,...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated May 21, 2025
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    Government of Canada, Statistics Canada (2025). Dwelling characteristics and household equipment at time of interview, Canada, regions and provinces [Dataset]. http://doi.org/10.25318/1110022801-eng
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    Dataset updated
    May 21, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Survey of Household Spending (SHS), dwelling characteristics and household equipment, percentage of households reporting and estimated number of households reporting.

  2. f

    The percentage of persons aged 18–64 years by household telephone status and...

    • datasetcatalog.nlm.nih.gov
    • figshare.com
    • +1more
    Updated Apr 30, 2015
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    Branson, Bernard M.; Van Handel, Michelle M. (2015). The percentage of persons aged 18–64 years by household telephone status and select characteristics, NHIS, United States, 2003 and 2013. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001874368
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    Dataset updated
    Apr 30, 2015
    Authors
    Branson, Bernard M.; Van Handel, Michelle M.
    Area covered
    United States
    Description

    Note. 95% CI = 95% Confidence Interval; HIV = human immunodeficiency virus; NHIS = National Health Interview Surveya Persons in cellphone-only households are respondents living in a household with only a working cellphone. Persons in landline households are respondents living in a household with a working telephone that is not a cellphone. Data not shown for respondents living in a household with no cellphone or landline telephone, which remained relatively stable and <2% of respondents in all years.The percentage of persons aged 18–64 years by household telephone status and select characteristics, NHIS, United States, 2003 and 2013.

  3. o

    Census 2014 - Phone Prod2 - Dataset OD Mekong Datahub

    • data.opendevelopmentmekong.net
    Updated May 21, 2019
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    (2019). Census 2014 - Phone Prod2 - Dataset OD Mekong Datahub [Dataset]. https://data.opendevelopmentmekong.net/dataset/census-2014---phone-prod2
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    Dataset updated
    May 21, 2019
    Description

    Census 2014 data containing the Household Assets variables (phone here). This data is disagregated by female/male-headed households, urban/rural and both categories. It has indicators such as: Percentage of households that own mobile or landline phone.

  4. f

    The percentage of persons by household telephone status and percentage of...

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Apr 30, 2015
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    Branson, Bernard M.; Van Handel, Michelle M. (2015). The percentage of persons by household telephone status and percentage of persons tested for HIV by telephone status, NHIS, United States, 2003–2013a. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001874365
    Explore at:
    Dataset updated
    Apr 30, 2015
    Authors
    Branson, Bernard M.; Van Handel, Michelle M.
    Area covered
    United States
    Description

    Note. 95% CI = 95% Confidence Interval; HIV = human immunodeficiency virus; NHIS = National Health Interview Surveya Persons in cellphone-only households are respondents living in a household with only a working cellphone. Persons in landline households are respondents living in a household with a working telephone that is not a cellphone. Data not shown for respondents living in a household with no cellphone or landline telephone, which remained relatively stable and <2% of respondents in all years.b From 2003 to 2013, there was a 42.0% increase in the percentage of persons aged 18–64 years living in cellphone-only households. Linear regression modelling found this change was statistically significant (p < 0.001).c From 2003 to 2013, there was a 42.2% decrease in the percentage of persons aged 18–64 years living in landline households. Linear regression modelling found this change was statistically significant (p < 0.001).d From 2003 to 2010, the percentage of persons in cellphone-only households who had ever been tested remained stable; linear regression modelling found this change was not statistically significant (p = 0.6147).e From 2003 to 2010, there was a 3.1% increase in the percentage of persons in landline households who had ever been tested. Linear regression modelling found this change was statistically significant (p < 0.001).The percentage of persons by household telephone status and percentage of persons tested for HIV by telephone status, NHIS, United States, 2003–2013a.

  5. w

    Global Financial Inclusion (Global Findex) Database 2011 - Afghanistan

    • microdata.worldbank.org
    • datacatalog.ihsn.org
    • +1more
    Updated Apr 15, 2015
    + more versions
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    Development Research Group, Finance and Private Sector Development Unit (2015). Global Financial Inclusion (Global Findex) Database 2011 - Afghanistan [Dataset]. https://microdata.worldbank.org/index.php/catalog/1117
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    Dataset updated
    Apr 15, 2015
    Dataset authored and provided by
    Development Research Group, Finance and Private Sector Development Unit
    Time period covered
    2011
    Area covered
    Afghanistan
    Description

    Abstract

    Well-functioning financial systems serve a vital purpose, offering savings, credit, payment, and risk management products to people with a wide range of needs. Yet until now little had been known about the global reach of the financial sector - the extent of financial inclusion and the degree to which such groups as the poor, women, and youth are excluded from formal financial systems. Systematic indicators of the use of different financial services had been lacking for most economies.

    The Global Financial Inclusion (Global Findex) database provides such indicators. This database contains the first round of Global Findex indicators, measuring how adults in more than 140 economies save, borrow, make payments, and manage risk. The data set can be used to track the effects of financial inclusion policies globally and develop a deeper and more nuanced understanding of how people around the world manage their day-to-day finances. By making it possible to identify segments of the population excluded from the formal financial sector, the data can help policy makers prioritize reforms and design new policies.

    Geographic coverage

    National Coverage.

    Analysis unit

    Individual

    Universe

    The target population is the civilian, non-institutionalized population 15 years and above.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The Global Findex indicators are drawn from survey data collected by Gallup, Inc. over the 2011 calendar year, covering more than 150,000 adults in 148 economies and representing about 97 percent of the world's population. Since 2005, Gallup has surveyed adults annually around the world, using a uniform methodology and randomly selected, nationally representative samples. The second round of Global Findex indicators was collected in 2014 and is forthcoming in 2015. The set of indicators will be collected again in 2017.

    Surveys were conducted face-to-face in economies where landline telephone penetration is less than 80 percent, or where face-to-face interviewing is customary. The first stage of sampling is the identification of primary sampling units, consisting of clusters of households. The primary sampling units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households by means of the Kish grid.

    Surveys were conducted by telephone in economies where landline telephone penetration is over 80 percent. The telephone surveys were conducted using random digit dialing or a nationally representative list of phone numbers. In selected countries where cell phone penetration is high, a dual sampling frame is used. Random respondent selection is achieved by using either the latest birthday or Kish grid method. At least three attempts are made to teach a person in each household, spread over different days and times of year.

    The sample size in Afghanistan was 1,000 individuals. Gender-matched sampling was used during the final stage of selection.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The questionnaire was designed by the World Bank, in conjunction with a Technical Advisory Board composed of leading academics, practitioners, and policy makers in the field of financial inclusion. The Bill and Melinda Gates Foundation and Gallup, Inc. also provided valuable input. The questionnaire was piloted in over 20 countries using focus groups, cognitive interviews, and field testing. The questionnaire is available in 142 languages upon request.

    Questions on insurance, mobile payments, and loan purposes were asked only in developing economies. The indicators on awareness and use of microfinance insitutions (MFIs) are not included in the public dataset. However, adults who report saving at an MFI are considered to have an account; this is reflected in the composite account indicator.

    Sampling error estimates

    Estimates of standard errors (which account for sampling error) vary by country and indicator. For country- and indicator-specific standard errors, refer to the Annex and Country Table in Demirguc-Kunt, Asli and L. Klapper. 2012. "Measuring Financial Inclusion: The Global Findex." Policy Research Working Paper 6025, World Bank, Washington, D.C.

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Government of Canada, Statistics Canada (2025). Dwelling characteristics and household equipment at time of interview, Canada, regions and provinces [Dataset]. http://doi.org/10.25318/1110022801-eng
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Dwelling characteristics and household equipment at time of interview, Canada, regions and provinces

1110022801

Explore at:
Dataset updated
May 21, 2025
Dataset provided by
Statistics Canadahttps://statcan.gc.ca/en
Area covered
Canada
Description

Survey of Household Spending (SHS), dwelling characteristics and household equipment, percentage of households reporting and estimated number of households reporting.

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