Proportion of Persons of Concern that have energy to ensure lighting
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()
Details
This indicator measures the percentage of Persons of Concern who have access to clean and sustainable source of lighting at household level. Safe and sustainable access to clean energy is increasingly recognized as human right and is an integral part of the Sustainable Development Goals.
The indicator for lighting is constructed from the essential questions LIGHT01 and LIGHT02 which captures the most used light source. LSMS Guidebook is the main source for measuring energy access as defined for SGD 7.1.12.
| Standard Questions |
| LIGHT01 - LIGHT03 |
: $Population with reliance on clean fuels and technologies for lightingTotal population$
Numerator: Population living in households with primary reliance on clean fuels and technologies for lighting
Denominator: Total population
Formula: LIGHT01 = 1 & LIGHT02 = 1, 3, 4, 5, 6, 7, 8 / Total Population
This comes from the main dataset
The below Calculates percentage of PoC having access to clean fuel for lighting and / or basic connectivity (9.1 Outcome Indicator)
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_2(datalist )
#> ✔ LIGHT01
#> ✔ LIGHT02
#> ✔ LIGHT03
## Visualise value
fct_plot_indic_donut(indicator = datalist[["main"]]$outcome9_2,
iconunicode = "f140")
