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This dataset contains a many-to-one relationship with the df_household dataset. Hence, you can apply joins using the uuid.

Usage

df_household_roster

Format

A tibble with 905 rows and 8 variables:

uuid

Unique ID

line_number

Number identifier for each member within the household

class

Urbanity: Rural or Urban

sex

Sex of the household member

age

Age of the household member

attending_school

Whether the household member (aged 5-24 years old) is currently attending school: 1 - currently attending; 2 - currently not attending

completed_6yrs_schooling

Whether completed at least six (6) years of schooling: 1 - completed; 2 -not completed

undernourished

Whether the household member (aged below 70 years old) is undernourished: 1 - undernourished; 2 - not undernourished

See also

Examples

df_household_roster
#> # A tibble: 905 × 8
#>    uuid            line_number class sex     age attending_school undernourished
#>    <chr>                 <int> <chr> <chr> <int>            <int>          <int>
#>  1 5dbec60a-ebda-…           1 Rural Male     55               NA              2
#>  2 5dbec60a-ebda-…           2 Rural Fema…    48               NA              2
#>  3 5dbec60a-ebda-…           3 Rural Fema…    17                1              2
#>  4 5dbec60a-ebda-…           4 Rural Male     10                1              2
#>  5 8b70c208-8642-…           1 Rural Fema…    30               NA              2
#>  6 8b70c208-8642-…           2 Rural Male     26               NA              2
#>  7 8b70c208-8642-…           3 Rural Male      3               NA              2
#>  8 8b70c208-8642-…           4 Rural Male     19                1              2
#>  9 aa7cb64d-ba16-…           1 Rural Male     66               NA              2
#> 10 aa7cb64d-ba16-…           2 Rural Fema…    62               NA              2
#> # ℹ 895 more rows
#> # ℹ 1 more variable: completed_6yrs_schooling <int>