3 Outputs and Data
The core RHoMIS survey contains over 750 variables.
These are used to calculate key indicators, such as
total_income_lcu_per_year.
This guide is designed to explain:
- How some of the main indicators are calculated
- How variables are linked
- How you can explore these calculations and indicators yourself
In order to make the most of this guide, you should have a sample RHoMIS dataset, to see how to process a “Raw” RHoMIS dataset, and produce indicators from this dataset, please see data processing
3.1 Outputs
3.1.1 Indicators
Indicators calculated whilst the data was being processed. These cover a range of
topics, including incomes, dietary diversity, and household demographics. The indicators
calculated depend on the columns present in the original raw-data.csv file.
3.1.2 Crop Data
Found in the crop_data directory, in each of the csvs, a column represents the crops
listed in the survey, each row represents one household (in the same row order as the original dataset)
3.1.3 Livestock Data
Found in the livestock_data directory, in each of the csvs, a column represents the types of livestock listed in the survey,
again each row represents a household.
3.1.4 Off-farm Data
Found in the off_farm_data directory, in each of the csvs, a column represents an off-farm activity, and each row represents
a household.
3.1.5 Consumption Calories
Found in the consumption_calorie_values directory, in each of the csvs, a column represents the products listed in the survey, and each row represents
a household.