IHSN Survey Catalog
  • Home
  • Microdata Catalog
  • Citations
  • Login
    Login
    Home / Central Data Catalog / SLE_2018_SLIHS_V01_M
central

Integrated Household Survey 2018

Sierra Leone, 2018
Get Microdata
Reference ID
SLE_2018_SLIHS_v01_M
Producer(s)
Statistics Sierra Leone, The World Bank
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
26793
Downloads
943
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data processing
  • Depositor information
  • Data Access
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    SLE_2018_SLIHS_v01_M

    Title

    Integrated Household Survey 2018

    Country
    Name Country code
    Sierra Leone SLE
    Study type

    Living Standards Measurement Study [hh/lsms]

    Abstract

    The Sierra Leone Integrated Household Survey (SLIHS) is Sierra Leone’s Living Standard Measurement Survey (LSMS) or household income and expenditure survey (HIES), which is conducted regularly in order to collect useful socio-economic data to support government planning processes. The 2018 SLIHS data collection covered the period January-December 2018, and it was the third round, which followed the 2011 and 2003 rounds. SLIHS is a multi topic household survey that collects detailed household incomes and expenditures, which are the ingredient for the monetary poverty assessment and collects information on education, health, employment, housing, and household assets.

    The 2018 SLIHS was designed specifically to provide poverty indicators required for a successful updating of the poverty profile of the country as well as the household expenditure pattern, which serves as a basis for policy making and implementing both the national development plan (NDP) or the poverty reduction strategy paper (PRSP) and sectoral plans such as in education, health and agriculture sectors. The 2018 SLIHS also serves as a baseline for the monitoring of key International benchmarks as contained in the sustainable development goals (SDGs) and African Union Commission (AUC) Agenda 2063 in health, education, environment, income, employment, and gender issues.

    The 2018 SLIHS therefore provides for the analysis of household welfare and poverty characteristics; and the results are comparable to previous rounds, at national and sub-national levels. The poverty lines usually computed from the data are:

    • The food poverty line represents the minimum amount of money required to afford a food bundle that provides the minimum required caloric intake.
    • The total poverty line is the sum of the food (extreme) poverty line, plus an additional allowance for non-food items, and represents the minimum amount of money required to afford a set of basic food and nonfood needs.

    Based on these lines and the level of consumption in the household, three definitions of being poor are used:

    • A household is classified as absolute poor if its total (food and non-food) consumption is less than the total or absolute poverty line.
    • A household is classified as food poor if its food consumption is less than the food poverty line.
    • A household is classified as extremely poor if its total (food and non-food) consumption is less than the food poverty line.

    The following three poverty measures are used to aggregate poverty across households:

    • Incidence of poverty (headcount index). The percent of the household population living below the poverty line.
    • Depth of poverty (poverty gap). How far, on average, the population is from the poverty line. In other words, depth of poverty captures the mean percent consumption shortfall of the population relative to the poverty line.
    • Severity of poverty (squared poverty gap). Combines the distance separating the poor from the poverty line and the inequality among the poor. Conceptually, poverty severity gives greater weight to those who are farther below the poverty line.

    The objectives of the survey are as follows:

    • To provide fresh poverty profile and determine new official poverty lines using the new World Bank poverty line of USD 1.90 per day.
    • To provide poverty and other indicators to serve as tools for the monitoring and evaluation of the Medium-term national development plan.
    • To measure households’ consumption and expenditure at a greater level of disaggregation.
    • To provide data for the compilation of National Accounts and computation of the Consumer Price Index (CPI).
    • To measure the impact of Ebola on the socio-economic characteristics of the population.
    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis
    • Individuals
    • Households

    Version

    Version Description

    v0.1: Edited, anonymous dataset.

    Scope

    Notes
    • Individual Characteristics,
    • Household Characteristics
    • Agriculture
    • Household Consumption Items

    Coverage

    Geographic Coverage
    • National coverage
    • Districts: Kailahun, Kenema, Kono, Bombali , Kambia , Koinadugu , Port Loko , Tonkolili , Bo, Bonthe, Moyamba , Pujehun , Western Area Rural, and Western Area Urban
    • Rural and urban localities

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Statistics Sierra Leone The Government of Sierra Leone
    The World Bank The World Bank
    Funding Agency/Sponsor
    Name
    The World Bank
    Statistics Sierra Leone
    Other Identifications/Acknowledgments
    Name Affiliation
    Integrated Project Administration Unit (IPAU) Ministry of Finance and Economic Development

    Sampling

    Sampling Procedure

    The 2018 SLIHS sample was selected from the 2015 Population and Housing Census (PHC) frame, which had 12, 856 Enumeration Areas (EAs) and 1, 248, 218 households. The sample was drawn from a domain which had 4 Regions, 14 Districts, 149 chiefdoms and 1322 sections in the old administrative setting.

    The sampling procedure used to select the sample is similar to the procedure used in 2011 SLIHS. A two-stage stratification strategy was used to select the sample by first dividing the frame by the 14 Districts and then divided each district by rural and urban localities. Probability Proportional to Size (PPS) was used to select the 684 EAs, which were used as clusters for the survey. This meant that district and rural/urban locality were used as domain for selection as well as for analysis.

    Sample Size:
    The Sierra Leone Integrated Household Survey (SLIHS) is a nationwide survey conducted in 684 clusters/Enumeration Areas (EAs). The sample covers all 14 Administrative District (Old) as well as the 16 Administrative Districts in the new dispensation. Given the wide variation in living conditions in the urban areas, the sample is tilted towards those areas although the bulk (63 percent) of the population lives in the rural areas.

    The 2018 SLIHS collaborated with the multi-indicator cluster survey round six (MICS-6). MICS-6 collected data from 506 2018 SLIHS EAs out of 684 selected cluster for the survey. The 2018 SLIHS made use of basic household roster information from this MICS-6 (name, sex, age, relationship to household head); and we did receive this list of interviewed households from the MICS-6 Team. The collaboration was meant to produce economic and social indicators in a single dataset.

    Response Rate

    The response rate for the SLIHS 2018 is 100 %. All 684 clusters were covered and in each of these clusters 10 households were interviewed.

    Weighting

    The number of clusters or EAs was chosen to be the same as in 2011, as was the number of households per EA (10). The sampling strata for the 2018 SLIHS were stratified by district and by urban/rural (14 districts x 2 = 28) but since there is no rural stratum in the Western Area Urban, there were actually 27 strata used to develop the weights. This means that the 684 clusters were selected from 27 strata to give the most precise poverty rates by district. Probability Proportional to Size (PPS) means that clusters with more households were more likely to be selected such that each household within the stratum is equally likely to be selected. This enables to calculate the household weights for each stratum and the weights were calculated as inverse probability of selection within strata. For example, if there were N households in a stratum, and we sampled n, then the probability for each household was included is n/N, so the inverse probability is N/n. This is called a “pweight” or sampling weight in STATA. The MICS sample was drawn after the SLIHS had been drawn, so its sampling procedures do not affect the SLIHS weights.

    Survey instrument

    Questionnaires

    The survey instruments were developed using the 2011 questionnaires as reference materials, updated to cover new areas include agriculture and household expenditure items and categories. Compared with the 2011 instrument, the 2018 SLIHS survey instrument was made up of 5 books of questionnaires:

    • Book 1: Individual Characteristics
    • Book 2: Household Characteristics
    • Book 3: Agriculture
    • Book 4A: Household Consumption Items (first 10 days)
    • Book 4B: Household Consumption Items (last 10 days)

    A pre-test was conducted in order to test the suitability of the questionnaires including the structure and the formulation of the questions.

    More details on the questionnaire are provided as external resources

    Data collection

    Dates of Data Collection
    Start End
    2018-01 2018-12
    Data Collectors
    Name Affiliation
    Statistics Sierra Leone The Government of Sierra Leone
    Supervision

    The Supervisors were the leaders of their teams and were responsible for quality control of the data and for directing the work of the enumerators. They were responsible for providing questionnaires, other field materials and the list of pre-selected households in each Enumeration Area (EA) or cluster for each cycle to the enumerators and the Data Entry Clerks. They also assisted publicity and advocacy activities at the EA and community level. They assign enumerators to specific EAs ever cycle. They were responsible for reviewing and editing each questionnaire completed before handing it over to the Data Entry Clerks, as well as for storage. Supervisors reported directly to the National Coordinator and the Regional Coordinators, as well as the Monitors.

    Data Collection Notes

    Staff Recruitment and Training:
    The training of trainers (TOT) was for coordinators and some of the wound-be supervisors conducted in November, 2017. The TOT was organized for 11 trainees including Stats SL staff who are involved in the SLIHS on a day to day basis as well as a few experienced survey field workers, who had worked with Stats SL for a longtime. The purpose of the 5 day training was to train personnel, who would assist the trainers in the training of the Enumerators and Supervisors.

    The Training of Enumerators and Supervisors was conducted from November 27- December 8, 2017; and it was organized for 100 Enumerators and Supervisors and 25 Data Entry Clerks. The main objective of the training was to introduce the trainees to the SLIHS questionnaires; and to enable them understood the questionnaires in terms of content-formulation of questions and instructions, structure-skips based on age, sex and other responses, as well as discuss possible field challenges regarding workload, respondent cooperation and terrain. The training method included presentations, plenary sessions and field practices; and the field practices were organized in order to enable the trainees to understand and put into use the skills acquired during the presentation and plenary sessions. The Training was facilitated by the World Bank SLIHS Resident Advisor, SLIHS Coordinators. A selection test was administered on the last day of the training to select those who will form the teams for the SLIHS. Out of the 125 Trainees, the successful candidates comprise.

    Procurement of Fieldwork :
    Procurement of fieldwork equipment and materials commenced much early with advertisement for bids and price quotations placed on newspaper. Equipment, stationery and other supplies were procured with support from IPAU and the World Bank Procurement Experts. Motor bikes, generators, printing of questionnaires, manuals, vehicle hire, GPS machines, scales, lights, stationery supplies, etc were all procured and supplied in time for the deployment of field teams. Although follow-up actions were undertaken during the process of data collection to address emerging issues.

    Quality Control and Monitoring of Field Work:
    The 2018 SLIHS monitoring exercise was implemented to assess the quality of the data collected, the logistics, materials, and proffer administrative and methodological solutions to constraints faced by filed staff. In this regard, monitoring activities were arranged and conducted at 4 levels as part of the quality control measures of the survey.

    Data processing

    Data Editing

    2018 SLIHS data entry was done alongside with data collection in the field. It was a hybrid arrangement wherein completed paper questionnaires were entered in the field unlike the usual practice of centralizing data entry at the head office and carried out at the end of the survey. Data Entry Clerks (DECs) were trained and each of the 19 DECs was given a laptop computer to each to enter the data for a team in the field. The data entry mask or programme was finalized early which was installed in all laptops. DECs were responsible for syncing the data to the server which monitored by Stats SL and the World Bank.

    Depositor information

    Depositor
    Name Affiliation
    Statistics Sierra Leone The Government of Sierra Leone

    Data Access

    Citation requirements

    Use of the dataset must be acknowledged using a citation which would include:

    • the Identification of the Primary Investigator
    • the title of the survey (including country, acronym and year of implementation)
    • the survey reference number
    • the source and date of download

    Example:

    Statistics Sierra Leone. Integrated Household Survey (SLIHS) 2018. Ref. SLE_2018_SLIHS_v01_M. Downloaded from [url] on [date].

    Contacts

    Contacts
    Name Affiliation Email
    Statistics Sierra Leone The Government of Sierra Leone info@statistics.sl

    Metadata production

    DDI Document ID

    DDI_SLE_2018_SLIHS_v01_M_WB

    Producers
    Name Affiliation Role
    Development Economics Data Group The World Bank Documentation of the DDI
    The Sub-Saharan Team for Statistical Development The World Bank Documentation of the DDI
    Date of Metadata Production

    2020-04-02

    Metadata version

    DDI Document version

    Version 0.1 (April 2020)

    Back to Catalog
    IHSN Survey Catalog

    © IHSN Survey Catalog, All Rights Reserved.