Household Income and Expenditure Survey 2019
Sri Lanka, 2019
Identification
LKA_2019_HIES_v01_M
Household Income and Expenditure Survey 2019
| Name | Country code |
|---|---|
| Sri Lanka | LKA |
Income/Expenditure/Household Survey [hh/ies]
The 2019 Household Income and Expenditure Survey (HIES) is the tenth in the series of HIES. The survey sample is representative at national, sector, province and district levels.
The Household Income and Expenditure Survey (HIES) was conducted by the Department of Census and Statistics (DCS) of Sri Lanka. The survey provides information on household socio demographic characteristics, access to basic services, housing, income and consumption expenditure to measure the levels and to observe the changes of living conditions of people in the country. The HIES information is also used to estimate consumption needs of the country and to compute various other important indicators related to poverty and price indices.
Sample survey data [ssd]
- Household
- Individual
Version
Version 01: Edited dataset for public distribution
2022-04-04
Scope
The 2019 Sri Lanka Household Income and Expenditure Survey covered the following topics:
- Demographic characteristics
- Household expenditure (on food and non-food)
- Household income (monetary and non-monetary)
- School education
- Health information
- Inventory of durable goods
- Access to infrastructure facilities
- Household debts and borrowings
- Housing, sanitary and disasters
- Land and agriculture holdings
- Food insecurity practices
Coverage
National coverage
Producers and sponsors
| Name | Affiliation |
|---|---|
| Department of Census and Statistics (DCS) | Ministry of National Policies and Economic Affairs, Sri Lanka |
| Name | Role |
|---|---|
| Government of Sri Lanka | Funder |
Sampling
Sample design of the survey is two stages stratified and the Urban, Rural and the Estate sectors in each district of the country are the selection domains thus the district is the main domain used for the stratification. The sampling frame is the list of housing units prepared for the Census of Population and Housing (CPH) 2011.
Selection of Primary Sampling Units
Primary sampling units (PSUs) are the census blocks selected for the survey. The sampling frame, which is the collection of all the census blocks prepared in CPH 2011 in Sri Lanka, is used for the selection of the PSUs at the first stage of the selection.
The PSU selection is done within all the independent-selection domains that are assigned different sample size allocations to total the targeted sample size of 2,500 PSUs. The method of selection of the PSUs at the first stage is systematic with a selection probability given to each census block proportionate to the number of housing units available in the census blocks within the selection domains (PPS).
The selected PSUs are updated to include newly built housing units and to exclude demolished or vacated housing units, which are no longer considered as housing units according to the survey definitions, to capture variation of natural growth and to make necessary adjustments for the same. The PSU updating operation in field is generally done less than one month prior to the survey and it was carried out for the 12 months starting from October 2018 to September 2019 to support the scheduled 12 survey months started from January to December in 2019 for the HIES 2019.
Selection of Secondary Sampling Units
Secondary Sampling Units (SSUs) or Final sampling units (FSUs) are the housing units selected at the second stage from the 2,500 PSUs selected at the first stage. From each PSU, 10 SSUs (housing units) are systematically selected giving each housing unit in the PSU an equal probability to be selected for the survey. The total sample of size 25,000 housing units is resulted at the end of the sampling process and this sample represents the whole country in different probabilities depend on the different sample sizes allocated for the selection domains.
Sample Allocation
Allocation of the number of PSUs or determining the sample sizes for the districts is made proportionate to the number of housing units and the standard deviations of the mean household expenditure values reported in the respective districts in previous surveys (Neymann Allocation). Sector allocation of the district sample is made proportionate to the square root of the sizes of the respective selection domains (Urban, Rural and Estate sectors in the district). The sample of PSUs within the selection domain is equally distributed among the 12 survey months and the monthly sample too is equally dispersed among all the weeks in the month assigning a specific week for each PSU for the survey activities.
Survey instrument
The 2019 HIES survey questionnaire consists of nine sections.
- Section 1: Demographic Characteristics
- Section 2: School Education (For people aged 5 - 20 years)
- Section 3: Health
- Section 4: Expenditure
- Section 5: Income
- Section 6: Inventory of Durable Goods & Indebtedness
- Section 7: Access to Primary facilities
- Section 8: Housing Information
- Section 9: Land Ownership and Livestock
Data collection
| Start | End |
|---|---|
| 2019-01-01 | 2019-12-13 |
- Face-to-face [f2f]
Approximately 330 field officers (Statistical Officers, Statistical Assistants) who belong to the permanent field staffs of Department of Census and Statistics did the collection of data. Each field officers are in-charge of all statistical activities in a geographical units called District Secretariat Divisions (DSD). These officers were given a thorough training before they were entrusted with the survey operations. Each administrative district comprises with such units and there are altogether 331 DS Divisions in Sri Lanka. In each district, there is a Deputy Director (DD) /Senior Statistician (SSTN) /Statistician (STN) who in charge of the statistical activities in the district and one of the main functions is to supervise the work of field staff.
The main functions of the field staff for this survey
(a) Update the lists of housing units of the selected blocks (PSUs) and preparation of listing forms (9NHSP)
(b) Interview the selected households
In addition to this, the following control procedures were adopted to control the non-sampling error and increase to accuracy of the survey estimates.
- Field supervision of listing forms and updating operation and interviewing the data collection done by field staff by in-charge of district
- Field activity reviews by Sample Survey Division (SSD) staff
- Data entry checks, Computer edits and data verification
- Use several control sheets to do the survey activities on time and increased the accuracy of the data.
Data Access
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
Disclaimer and copyrights
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Metadata production
DDI_LKA_2019_HIES_v01_M_WB
| Name | Affiliation | Role |
|---|---|---|
| Development Economics Data Group | The World Bank | Documentation of the survey |
2022-07-25
Metadata version
Version 01 (July 2022)
2022-07-25