Household Income and Expenditure Survey 2019
Sri Lanka, 2019
Get Microdata
Reference ID
LKA-DCS-HIES-2019-V01
Producer(s)
Department of Census and Statistics
Metadata
Created on
Aug 03, 2023
Last modified
Sep 21, 2023
Page views
21515
Downloads
13
Identification
Survey ID Number
LKA-DCS-HIES-2019-V01
Title
Household Income and Expenditure Survey 2019
Country
| Name | Country code |
|---|---|
| Sri Lanka | LKA |
Study type
Income/Expenditure/Household Survey [hh/ies]
Abstract
This survey provides information on household income and expenditure to be able to measure the levels and changes in the
living condition of the people, to observe the consumption patterns and to compute various other indicators such as poverty,
food ratio, gini co-efficient of income and expenditure etc.
Key objectives of the survey
- To identify the income patterns in Urban, Rural, Estate Sector and Districts.
- To identify the income patterns by income levels.
- Average consumption of food items and non food items.
- Expenditure patterns by sector and by different income levels.
- To identify the incidence of poverty by sector and income levels
living condition of the people, to observe the consumption patterns and to compute various other indicators such as poverty,
food ratio, gini co-efficient of income and expenditure etc.
Key objectives of the survey
- To identify the income patterns in Urban, Rural, Estate Sector and Districts.
- To identify the income patterns by income levels.
- Average consumption of food items and non food items.
- Expenditure patterns by sector and by different income levels.
- To identify the incidence of poverty by sector and income levels
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Household, Individuals
Version
Version Description
V01
Scope
Notes
The HIES gathers information related to demographic characteristics of the members of the surveyed households, expenditure on food and non-food items and income received by each household member from all the different sources in a compulsory manner.
Coverage
Geographic Coverage
National coverage.
For this survey a sample of buildings and the occupants therein was drawn from the whole island.
For this survey a sample of buildings and the occupants therein was drawn from the whole island.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Department of Census and Statistics | National Policies and Economic Affairs |
Funding Agency/Sponsor
| Name | Abbreviation |
|---|---|
| Goverment of Sri Lanka | GOSL |
Sampling
Sampling Procedure
Sample design of the survey is two stage 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 2015 to September 2016 to support the scheduled 12 survey months started from January to December in 2016 for the HIES 2016.
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.
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 2015 to September 2016 to support the scheduled 12 survey months started from January to December in 2016 for the HIES 2016.
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.
Response Rate
See page number 2 for further details
Weighting
See page number 3-4 for weighting procedure
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2019-01-01 | 2019-12-31 |
Data Collection Mode
Face-to-face [f2f]
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Department of Census andv Statistics | DCS | National Policies and Economic Affairs |
Questionnaires
Questionnaires
All the Questionnaires are included in the final report of HIES 2016
Data Processing
Data Editing
No content available
Other Processing
Process of data has following steps
Data processing stages as following
a) Data collecting through diary method and shedule
b) Entering data in to data base by district offices.
c) Sending data to the head office
d) Data verifying
e) Data cleaning
Data processing stages as following
a) Data collecting through diary method and shedule
b) Entering data in to data base by district offices.
c) Sending data to the head office
d) Data verifying
e) Data cleaning
Access policy
Contacts
| Name | |
|---|---|
| Department of Census and Statistics | dgcensus@statistics.gov.lk |
Confidentiality
Under the Statistical ordinance, micro data cannot be released with identifications for public use. Procedures are in place to ensure that information relating to any particular individual person, household or undertaking will be kept strictly confidential and will not be divulged to external parties. Information on individual or individual Household/establishment will not be divulged or published in such a form that will facilitate the identification of any particular person or establishment as the data have been collected under the Census/Statistical ordinance, according to which the information at individual level cannot be divulged and such information is strictly confidential.
Access conditions
The dataset has been anonymized and is available as a Public Use Dataset. It is accessible to all for statistical and research purposes only, under the following terms and conditions:
1. The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement.
2. The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations.
3. No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently.
4. No attempt will be made to produce links among datasets provided by the Department or among data from the Department and other datasets that could identify individuals or organizations.
5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the Department will cite the source of data in accordance with the Citation Requirement provided with each dataset.
6. An electronic copy of all reports and publications based on the requested data will be sent to the Department.
The following rules apply to micro data released by the Department of Census and Statistics.
• Only the requests of Government Institutions, Recognized Universities, Students, and selected international agencies are entertained. However, the Data users are required to strictly adhere to
the terms stipulated in the agreement form.
• All the data requests should be made to Director General (DG) of the DCS as the sole authority of releasing data is vested with the DG, DCS. DCS of Sri Lanka reserves sole right to approve or reject any data request made depending on the confidential nature of the data set and intended purpose of the study or analysis.
• Requests for micro data should be made through the agreement form designed by DCS for this purpose (Form D.R.1). The agreement form should be filled in triplicate and the Study/project proposal should accompany the filled agreement form. If requests are made for the micro data of more than one survey, a separate agreement should be signed.
• If the data request is from a student a letter from the respective Dept. Head/Dean/Supervisor, recommending the issue of data, should also be accompanied.
• The released Data file should be used only for the specific study/Analysis mentioned in the agreement form and shall not be used for any other purpose without the prior approval of the Director General of the DCS. Moreover, Copies of the microdata file, obtained from the DCS, shall not be given to anyone else without the prior written approval of the Director General of the DCS.
• The draft report of the Study/Analysis should be submitted to the DCS and the concurrence of the DG, DCS, should be obtained before publishing it. Once published, a copy of the final report should be submitted to the DCS.
[Department : The Department of Census and Statistics]
Source : http://www.statistics.gov.lk/databases/data%20dissemination/DataDissaPolicy_2007Oct26.pdf
1. The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement.
2. The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations.
3. No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently.
4. No attempt will be made to produce links among datasets provided by the Department or among data from the Department and other datasets that could identify individuals or organizations.
5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the Department will cite the source of data in accordance with the Citation Requirement provided with each dataset.
6. An electronic copy of all reports and publications based on the requested data will be sent to the Department.
The following rules apply to micro data released by the Department of Census and Statistics.
• Only the requests of Government Institutions, Recognized Universities, Students, and selected international agencies are entertained. However, the Data users are required to strictly adhere to
the terms stipulated in the agreement form.
• All the data requests should be made to Director General (DG) of the DCS as the sole authority of releasing data is vested with the DG, DCS. DCS of Sri Lanka reserves sole right to approve or reject any data request made depending on the confidential nature of the data set and intended purpose of the study or analysis.
• Requests for micro data should be made through the agreement form designed by DCS for this purpose (Form D.R.1). The agreement form should be filled in triplicate and the Study/project proposal should accompany the filled agreement form. If requests are made for the micro data of more than one survey, a separate agreement should be signed.
• If the data request is from a student a letter from the respective Dept. Head/Dean/Supervisor, recommending the issue of data, should also be accompanied.
• The released Data file should be used only for the specific study/Analysis mentioned in the agreement form and shall not be used for any other purpose without the prior approval of the Director General of the DCS. Moreover, Copies of the microdata file, obtained from the DCS, shall not be given to anyone else without the prior written approval of the Director General of the DCS.
• The draft report of the Study/Analysis should be submitted to the DCS and the concurrence of the DG, DCS, should be obtained before publishing it. Once published, a copy of the final report should be submitted to the DCS.
[Department : The Department of Census and Statistics]
Source : http://www.statistics.gov.lk/databases/data%20dissemination/DataDissaPolicy_2007Oct26.pdf
Citation requirements
"Department of Census and Statistics,Household Income and Expenditure Survey 2016 (HIES 2016)"
Access authority
| Name | Affiliation | |
|---|---|---|
| Director General | Department of Census and Statistics | dgcensus@statistics.gov.lk |
Metadata production
DDI Document ID
DDI-LKA-DCS-HIES-2019-V01
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Department of Census and Statistics | DCS | Ministry of National Policies and Economic Affairs | Data Collection |
Date of Metadata Production
2023-08-03
DDI Document version
V01