Household Income and Expenditure Survey 2009-2010
Sri Lanka, 2009 - 2010
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
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Identification
Survey ID Number
LKA_2009_HIES_v01_M
Title
Household Income and Expenditure Survey 2009-2010
Country
| Name | Country code |
|---|---|
| Sri Lanka | LKA |
Study type
Income/Expenditure/Household Survey [hh/ies]
Series Information
The Sri Lanka Household Income and Expenditure Survey (HIES) is conducted by the Department of Census and Statistics (DCS) under the National Household Sample Survey Program. The HIES is an year long sample survey which is conducted in 12 consecutive monthly rounds and an island wide representative sample of equal size is enumerated in each monthly round to capture seasonal and regional variations of income, expenditure and consumption patterns. The HIES series which started in 1980 was conducted once in every five years until 2006/07 and thereafter, as rapidly changing economic conditions demanded far more frequent monitoring of income and expenditure patterns in the country, the DCS with the help of the rapid developments in the ICT, decided to conduct the HIES once in every three years in Sri Lanka. The HIES 2009/10 which was conducted three years after the previous survey, HIES 2006/07, is the seventh in the HIES series.
Abstract
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. Starting from the HIES 2006/07, the survey questionnaire was further expanded beyond the collection of demographic, income and expenditure information. It has been introduced 7 new sections to collect almost all the other household information that helps to understand the correct living standards of the households. Those newly introduced areas covered by the HIES starting from the HIES 2006/07 are as follows.
1. School education (aged 5-19 years)
2. Health information
3. Inventory of durable goods
4. Access to infrastructure facilities
5. Household debts and borrowings
6. Housing, sanitary and disasters
7. Land and agriculture holdings
1. School education (aged 5-19 years)
2. Health information
3. Inventory of durable goods
4. Access to infrastructure facilities
5. Household debts and borrowings
6. Housing, sanitary and disasters
7. Land and agriculture holdings
Kind of Data
Sample survey data [ssd]
Unit of Analysis
- Household
- Individual
- Individual
Scope
Notes
The 2009-2010 Sri Lanka Household Income and Expenditure Survey covered the following topics:
- Identification (including household ID, area identifications, PSU)
- Demographic Characteristics
- School Education ( for persons aged 5-19 years)
- Health
- Expenditure
· Weekly consumption on food and drink
· Household expenditure on housing, fuel and light, non-durable goods, services and consumer durable for main household
·Household expenditure on housing, fuel and light, non-durable goods, services and consumer durable for boarders and domestic servants
- Income
· Income from paid employments / during last weeks / last calendar month
· Income from agricultural activities - (paddy, other seasonal crops)
· Income from other agricultural activities
· Income from non-agricultural activities
· Income from other cash receipt during last calendar month / last 12 month
· Income by Chance or adhoc gains during last 12 months
- Inventry of Durable Goods
- Debts (Excluding Boarders & Servants)
- Access to Facilities
- Housing Information
- Agricultural Holdings and Livestock
- Identification (including household ID, area identifications, PSU)
- Demographic Characteristics
- School Education ( for persons aged 5-19 years)
- Health
- Expenditure
· Weekly consumption on food and drink
· Household expenditure on housing, fuel and light, non-durable goods, services and consumer durable for main household
·Household expenditure on housing, fuel and light, non-durable goods, services and consumer durable for boarders and domestic servants
- Income
· Income from paid employments / during last weeks / last calendar month
· Income from agricultural activities - (paddy, other seasonal crops)
· Income from other agricultural activities
· Income from non-agricultural activities
· Income from other cash receipt during last calendar month / last 12 month
· Income by Chance or adhoc gains during last 12 months
- Inventry of Durable Goods
- Debts (Excluding Boarders & Servants)
- Access to Facilities
- Housing Information
- Agricultural Holdings and Livestock
Coverage
Geographic Coverage
National - excluding Mannar, Kilinochchi and Mullaithivu districts in the Northern province
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Department of Census and Statistics | Ministry of Finance and Planning, Sri Lanka |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Goverment of Sri Lanka | GovLKA | Funding |
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) 2001 and the HIES 2009/10 will be the last HIES sampled from this sampling frame as the DCS is all set to conduct the CPH in 2011 based on whole newly prepared set of census blocks, which has been almost completed by now.
Selection of Primary Sampling Units
Primary sampling units (PSUs) are the census blocks selected for the survey and the sampling frame, which is the collection of all the census blocks prepared in 2001 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 independentselection 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 June 2009 to May 2010 to support the scheduled 12 survey months started from July 2009 to June 2010 for the HIES 2009/10.
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.
Selection of Primary Sampling Units
Primary sampling units (PSUs) are the census blocks selected for the survey and the sampling frame, which is the collection of all the census blocks prepared in 2001 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 independentselection 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 June 2009 to May 2010 to support the scheduled 12 survey months started from July 2009 to June 2010 for the HIES 2009/10.
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.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2009-07 | 2010-06 |
Data Collection Mode
Face-to-face [f2f]
Data Collection Notes
The field data collection of the survey was done in twelve monthly rounds starting from July 2009 to June 2010 and covered all the districts excluding Mannar, Kilinochchi and Mullaithivu districts in the Northern province as post liberation resettlements of internally displaced persons, a situation which is not suitable for conducting an HIES like household survey, were in progress in most of the areas in the three districts during the pre scheduled survey period.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Department of Census and Statistics | DCS | Ministry of Finance and Planning, Sri Lanka |
Questionnaires
Questionnaires
The survey questionnaire consists of nine parts.
i. Demographic Characteristics
ii. School education (aged 5 to 20 years)
iii. Health
vi. Household expenditure
v. Household income
vi. part a : Inventory of durable goods
vi. part b : Debts of the household
vii. Access to facilities in the area
viii. Information about housing
ix. Agriculture holdings and livestock
i. Demographic Characteristics
ii. School education (aged 5 to 20 years)
iii. Health
vi. Household expenditure
v. Household income
vi. part a : Inventory of durable goods
vi. part b : Debts of the household
vii. Access to facilities in the area
viii. Information about housing
ix. Agriculture holdings and livestock
Data Appraisal
Estimates of Sampling Error
Estimation, Standard error, and coefficient of variation table is available in the final survey report.
Access policy
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Director General | Department of Census and Statistics | dgcensus@sltnet.lk | http//:www.statistics.gov.lk |
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Information Unit | Department of Census and Statistics | information@statistic.gov.lk | http//:www.statistics.gov.lk |
| Sample Survey Division | Department of Census and Statistics | Sample.survey@statistic.gov.lk | http//:www.statistics.gov.lk |
| World Bank Microdata Library | microdata@worldbank.org |
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.
• If the request is approved only 25% of the data file is released at the first stage. The release of the total data file is considered only after reviewing the draft report prepared on the basis of the 25% sample data file.
• 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 micro-data 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]
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.
• If the request is approved only 25% of the data file is released at the first stage. The release of the total data file is considered only after reviewing the draft report prepared on the basis of the 25% sample data file.
• 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 micro-data 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]
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:
Department of Census and Statistics, Sri Lanka. Household Income and Expenditure Survey 2009-2010. Ref. LKA_2009_HIES_v01_M. Dataset downloaded from http://www.statistics.gov.lk on [date].
- 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:
Department of Census and Statistics, Sri Lanka. Household Income and Expenditure Survey 2009-2010. Ref. LKA_2009_HIES_v01_M. Dataset downloaded from http://www.statistics.gov.lk on [date].
Disclaimer and copyrights
Disclaimer
The Department of Census and Satatistics bears no responsibility for any results or interpretations arising from the secondary use of the data.
Metadata production
DDI Document ID
DDI_LKA_2009_HIES_v01_M_WB
Producers
| Name | Abbreviation | Role |
|---|---|---|
| World Bank, Development Economics Data Group | DECDG | Documentation of the study |
Date of Metadata Production
2013-07-17
DDI Document version
Version 01 (July 2013)