Skip to contents

Proportion of Persons of Concern living in habitable and affordable housing

Usage

outcome9_1(datalist)

Arguments

datalist

A list with all hierarchical data frame for a survey data set. format is expected to match the Excel export synchronized from kobo to RILD and loaded with kobocruncher::kobo_data()

Value

new calculated variable - appended or not...

Details

This indicator measures the proportion of persons of concern living in habitable and affordable housing. This indicator focuses only on habitability and affordability. It is limited in its reflection on other key aspects of adequate housing including security of tenure, availability of other basic services and infrastructure, accessibility, location of housing, and cultural appropriateness. It is also linked to SGD indicator 11.1.1.

The right to access adequate housing is protected by international law. The concept of "adequacy" means that housing is more than four walls and a roof as indicated in The Sphere Handbook. Habitable housing primarily refers to the fact that the housing should provide protection from cold, damp, heat, rain, wind, and other threats to health, structural hazards, and disease vectors and it should not be overcrowded. As shelter/housing is primarily a contextual element, there may be discrepancies from country to country on how this data is measured.Habitable shelter is measured based on having improved material for the dwelling as indicated in DHS publication on housing conditions which is also used by MICS6. Overcrowding is also used which occurs if there are more than three people per habitable room as defined by UN-Habitat.

Affordable housing refers to the fact that the cost of housing and its related expenditures on maintenance and household items should be at such a level that it should not compromise the attainment and satisfaction of other basic needs

Standard Questions
DWE01-DWE05 & DWE08-DWE09

Numerator: Total population living in habitable and affordable housing

Denominator: Total population

Formula: DWE01 = 1,2 & DWE02 = 3,4,5,6,7,8,9 & DWE03 = 8,9,10,11,12,13 & DWE04 = 10,11,12,13,14,15 & crowding (HH01/DWE05) \<= 3 & (DWE08=1 & DWE09=1,2) \| DWE08=0

This indicator is calculated from the main dataset

classify as habitable when improved/adequate shelter

Examples

## data, cf example  fct_re_map()
datalist <- kobocruncher::kobo_data( system.file("dummy_RMS_CAPI_v2_mapped.xlsx", 
                                                 package = "IndicatorCalc"))
#> Warning: Unknown or uninitialised column: `_parent_index`.
## Apply indicator function on datalist
datalist <- outcome9_1(datalist)
#>  DWE01 
#>  DWE02 
#>  DWE03 
#>  DWE04 
#>  DWE05 
#>  DWE08 
#>  DWE09 
#>  HH01 

## Visualise value
fct_plot_indic_donut(indicator = datalist[["main"]]$outcome9_1,
                     iconunicode = "f140")