4 datasets found
  1. o

    Osun State Population and Uncertainty Estimates - Dataset - openAFRICA

    • open.africa
    Updated Sep 6, 2019
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    (2019). Osun State Population and Uncertainty Estimates - Dataset - openAFRICA [Dataset]. https://open.africa/dataset/osun-state-population-and-uncertainty-estimates
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    Dataset updated
    Sep 6, 2019
    Area covered
    Osun
    Description

    Estimate population figures at state administrative level and different age groups

  2. W

    Osun LGA Population and Uncertainty Estimates

    • cloud.csiss.gmu.edu
    geojson
    Updated Jul 15, 2021
    + more versions
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    Open Africa (2021). Osun LGA Population and Uncertainty Estimates [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/osun-lga-population-and-uncertainty-estimates
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    geojsonAvailable download formats
    Dataset updated
    Jul 15, 2021
    Dataset provided by
    Open Africa
    Description

    Estimate population figures at state administrative level and different age groups

  3. MOESM1 of Descriptive epidemiology of measles surveillance data, Osun state,...

    • springernature.figshare.com
    xlsx
    Updated Jun 1, 2023
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    Folajimi Shorunke; Oluwatoyin Adeola-Musa; Aisha Usman; Celestine Ameh; Endie Waziri; Stephen Adebowale (2023). MOESM1 of Descriptive epidemiology of measles surveillance data, Osun state, Nigeria, 2016–2018 [Dataset]. http://doi.org/10.6084/m9.figshare.11321123.v1
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    xlsxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Folajimi Shorunke; Oluwatoyin Adeola-Musa; Aisha Usman; Celestine Ameh; Endie Waziri; Stephen Adebowale
    License

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

    Area covered
    Nigeria, Osun
    Description

    Additional file 1. Rates of reported cases of measles per 100,000 populations from January 2016 to December 2018 for all LGA in Osun State. This file shows the data from which Fig. 1 was derived. The first column for each year (2016–2018) is the LGA the second is the estimated population of each LGA from the Nigeria 2006 national census the third is the number of reported case for that year in each LGA and lastly the computed incidence rate.

  4. i

    Vulnerability and Poverty Transitions Survey 2009, Wave 1 - Nigeria

    • catalog.ihsn.org
    Updated Jan 19, 2021
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    University of Ibadan (2021). Vulnerability and Poverty Transitions Survey 2009, Wave 1 - Nigeria [Dataset]. https://catalog.ihsn.org/catalog/9530
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    Dataset updated
    Jan 19, 2021
    Dataset authored and provided by
    University of Ibadan
    Time period covered
    2009
    Area covered
    Nigeria
    Description

    Abstract

    Poverty dynamics enables a better appreciation of the extent of poverty over time by distinguishing between households exiting and entering into poverty, those never poor and the persistently poor. However, it has not received much attention in the poverty literature in Nigeria, largely due to the lack of nationally representative panel data that track the poverty status of households over time.

    This survey intends to provide indicators for tracking the welfare status of rural households overtime as well as identify the factors influencing this status for potent policy prescriptions.

    Geographic coverage

    Southwest Zone Osun State Oyo State

    Analysis unit

    Households

    Universe

    Rural household heads

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The frame for the study was the demarcated Enumeration Area (EA) maps produced by National Population Commission for the 2006 Housing and Population Census. These EAs used are part of the ones usually used by National Bureau of Statistics (NBS) for her regular household-based surveys.

    A multi-stage sampling technique was adopted for this study for the selection of respondents. The first stage was a random selection of two states of Oyo and Osun from the six states that make-up the Southwest geo-political zone of the country. The second stage involved the random selection of three local government areas (LGAs) from each of the selected state. The third stage was the random selection of ten rural enumeration areas (EAs) from each of the selected LGA. The final stage of the sampling was the systematic selection of ten households from the households listed in each selected EA. Hence, in each state 300 households were interviewed giving a total of 600 households in the two selected states canvassed for the study in the first period but only 582 households could be re-interviewed in the second round. Data from these 582 households were used for analysis in this study.

    Sampling deviation

    No deviations from sample design

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The questionnaire is divided into 6 sections:

    Section A: Socio- economic/demographic characteristics Section B: Health
    Section C: Housing, Utilities And Amenities Section D: Social Capital Section E: Household Consumption Section F: Shocks and Coping Strategies

    Cleaning operations

    Data editing took place primarily during processing and includes: a) Office editing and coding b) During data entry

    Response rate

    The response rate is 97%

    Sampling error estimates

    No sampling error

    Data appraisal

    No other form of data appraisal

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(2019). Osun State Population and Uncertainty Estimates - Dataset - openAFRICA [Dataset]. https://open.africa/dataset/osun-state-population-and-uncertainty-estimates

Osun State Population and Uncertainty Estimates - Dataset - openAFRICA

Explore at:
Dataset updated
Sep 6, 2019
Area covered
Osun
Description

Estimate population figures at state administrative level and different age groups

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