Household Income and Expenditure Survey 2016
Sri Lanka, 2016
Identification
LKA_2016_HIES_v01_M
Household Income and Expenditure Survey 2016
| Name | Country code |
|---|---|
| Sri Lanka | LKA |
Income/Expenditure/Household Survey [hh/ies]
The 2016 Household Income and Expenditure Survey (HIES) is the ninth 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) under the National Household Survey Programme (NHSP) of Sri Lanka. The survey provides information on household 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
Scope
The 2016 Sri Lanka Household Income and Expenditure Survey covered the following topics:
- Demographic characteristics
- Household characteristics
- Household expenditure (on food and non-food)
- Household income (monetary and non-monetary)
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 | Funded the survey |
Sampling
Sample design of the 2016 HIES was two-stage stratified sampling. Area of residence (Urban and Rural) and the Estate sectors in each district of the country were the selection domains thus the district was the main domain used for the stratification. The sampling frame was the list of housing units prepared for the Census of Population and Housing (CPH) 2011.
- Primary Sampling Units (PSUs) were the census blocks selected at the first stage of the selection.
- Secondary Sampling Units (SSUs) or Final sampling units (FSUs) were 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) were systematically selected giving each housing unit in the PSU an equal probability to be selected for the survey.
Survey instrument
The 2016 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
- Section 8: Housing Information
- Section 9: Agricultural Holdings and Livestock
Data collection
| Start | End |
|---|---|
| 2016-01-01 | 2016-12-31 |
Every 5 years
| Name | Affiliation |
|---|---|
| Department of Census and Statistics | Ministry of National Policies and Economic Affairs, Sri Lanka |
The field work of the survey was carried out during the period from January to December 2016 covering all 25 districts in the country.
Approximately 330 field officers who belong to the permanent field staffs of Department of Census and Statistics collected the survey data. Each field officer was in-charge of all statistical activities in a geographical unit 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.
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.