| df_household {mpindex} | R Documentation |
Sample dataset of households
Description
This is a synthetic dataset containing household information primarily used for demonstration purposes on how to use the mpindex package.
Usage
df_household
Format
A tibble with 198 rows and 21 variables:
- uuid
Unique ID
- class
Urbanity:
RuralorUrban- drinking_water
Acess to drinking water:
1- improved;2- unimproved- toilet
Service level of toilet or sanitation facility:
1- basic;2- limited;3- unimproved;4- open defecation- with_child_died
With at least one (1) child died in the last five (5) years:
1- with child died;2- without child died- roof
Main construction material of the roof:
1- galvanized iron/aluminum;2- concrete/clay tile;3- half galvanized iron and half concrete;4- wood/bamboo;5- cogon/nipa/anahaw;6- asbestos;7- makeshift/salvaged/improvised materials;9- other construction material- walls
Main construction material of the outer walls:
1- concrete/brick/stone;2- wood;3- half concrete/brick/stone and half wood;4- Galvanized iron/aluminum;5- bamboo/sawali/cogon/nipa;6- asbestos;7- glass;8- makeshift/salvaged/improvised materials;9- none;10- concrete hollow blocks;11- concrete hollow blocks/wood;12- shear walls;99- other construction material- floor
Main construction material of the floor:
1- concrete;2- wood;3- coconut lumber;4- bamboo;5- earth/sand/mud;6- makeshift/salvaged/improvised materials;9- other construction material- electricity
Access to electricity:
1- with access to electricity;2- without access to electricity- cooking_fuel
Fuel use for cooking:
1- electricity;2- kerosene (gaas);3- liquified petroleum gas (LPG);4- charcoal;5- wood;6- none;9- other cooking fuel such as dung, agricultural crop, or shrubs- asset_radio
Number of working radio owned by the household
- asset_tv
Number of working television owned by the household
- asset_telephone
Number of working telephone owned by the household
- asset_mobile_phone
Number of working mobile phone owned by the household
- asset_computer
Number of working computer owned by the household
- asset_animal_cart
Number of animal carts owned by the household
- asset_bicycle
Number of bicycle owned by the household
- asset_motorcycle
Number of motorcylce owned by the household
- asset_refrigerator
Number of working refrigerator owned by the household
- asset_car
Number of car owned by the household
- asset_truck
Number of trucks owned by the household
See Also
Examples
df_household