Dark Mode
Household Income Generation Activities and Sources
Data Science and Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
Data explains income generation activities occurring at the household level across numerous global regions. It provides detailed statistics on different sources of income, including essential categories such as labour, agriculture, asset sales, and remittances. The dataset offers significant insight into household economic stability and livelihood strategies globally.
Columns
- ADM0_NAME: The name of the country (Administrative level 0).
- ADM1_NAME: The primary sub-national administrative division name.
- ADM2_NAME: The secondary sub-national administrative division name, which has a high percentage of missing values.
- Income_Category: The broad classification of the income source (e.g., Labor - Salary/Regular). There are 26 unique categories.
- Income_SubCategory: A more detailed breakdown of the income source.
- Income_Month: The specific month the income was recorded, ranging from 1 to 12.
- Income_Year: The specific year of the record, spanning from 2006 to 2014.
- IncomeValue: The recorded value of the income.
- Indicator_Type: Classifies the data collection method or context, typically split between 'Baseline' and 'Emergency'.
- Income_DataSource: Identifies the specific WFP survey or assessment used to gather the data.
Distribution
The underlying data file, which is usually in CSV format, is named
dbo-incomes.csv and is approximately 750.27 kB in size. The structure includes 10 distinct columns and features 4,370 valid records. The expected update frequency for this specific set of data is listed as 'Never'.Usage
This data is ideal for analysts focused on poverty reduction and economic development. Use cases include assessing global food security situations, mapping household vulnerability across administrative boundaries, and analysing the impact of various shocks on household income streams.
Coverage
The geographic scope extends across 32 distinct countries, with specific data examples citing countries such as Senegal and Rwanda. The temporal range of the recorded income generation activities spans from the year 2006 up to 2014. The data provides granular administrative details down to levels ADM0, ADM1, and ADM2.
License
CC0: Public Domain
Who Can Use It
- Non-Governmental Organisations (NGOs): To design and target income-generating activities in vulnerable communities.
- Development Economists: For socio-economic modelling and quantitative research on poverty determinants.
- Policy Makers: To inform national strategies regarding social protection and agricultural investment.
- Academics: For studying global livelihood diversification and economic resilience.
Dataset Name Suggestions
- Household Income Generation Activities and Sources
- WFP Global Household Income Data (2006-2014)
- Socio-Economic Income Activities Survey
Attributes
Original Data Source: Household Income Generation Activities and Sources
QUALITYLoading...