- SLIHS2018_P [stata]
- SLIHS2018_P [csv]
The questionnaire for the 2018 is divided into 5 books:
Book 1: Household Member Characteristics
- Section A: Household Roster
- Section B: General Education
- Section C: Alternative Education and ICT
- Section D: General Health and Disability
- Section E: Child Preventative Health
- Section F: Women's Reproductive Health
- Section G: Health Knowledge, Behaviors and Attitudes
- Section H: Employment and Time Use - 7 Days
- Section I: Employment and Time Use - 12 Months
- Section J: Migration
Book 2: Household Characteristics
- Section K: Housing Section L: Durable Goods
- Section M: Social Assistance and Subjective Wellbeing
- Section N: Non-Food Consumption (Infrequently Purchased Items)
- Section O: Financial Services
- Section P: Non-Farm Enterprises
Book 3: Agriculture
- Section R: Agricultural Assets
- Section S: Annual Crops
- Section T: Permanent Crops
- Section U: Forestry Activities
- Section V: Fishing
- Section W: Livestock
Book 4: Consumption
- Section X: Food Consumption
- Section Y: Non-Food Consumption (Frequently Purchased Items)
[Book 4A: secs X and Y for the first 10 days and sec Z; Book 4B: X and Y for days 11 to 20] Section Z: Bulk Purchases
The different sections / questions are mapped into the different datasets as shown on the next page.
All datasets contain:
- ID variables (_cluster, _hhno and a third (and fourth) id if needed such as _ind or _line).
- Variables for survey data analysis: _cluster (psu), _stratum and _pweight
- Serial numbers of the questionnaire books from which they take data.
- In general, variables whose names start with an underscore are administrative variables.
- Other variable name correspond directly to the section and question number on the questionnaire: b2 is section B, question 2. Multipart questions (first, second and third reasons etc) and usually postfixed a, b, c etc (for example, d4a, d4b, d4c). When the "other" option was answered for a question, the text given to specify is the variable with the postfix _other (for example, d4a_other).
Datasets can be merged using the variable _cluster and _hhno (or just _cluster if merging with slihs2018_cluster.dta).
+ Sierra Leone Integrated Household Survey (SLIHS) Report 2018
+ Sample Design, Field Procedures and Quality Control
+ Guidelines for Using the Data
+ Collaboration with the MICS
+ Dataset Organization