Household Income and Expenditure Survey - 2005
Special survey

Sri Lanka, 2005

Reference ID

LKA_2005_HIES_v01_M

Producer(s)

Department of Census and Statistics

Metadata

Documentation in PDF DDI/XML JSON

Created on

Aug 28, 2024

Last modified

Aug 28, 2024

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409

Identification

Survey ID number

LKA_2005_HIES_v01_M

Title

Household Income and Expenditure Survey - 2005

Subtitle

Special survey

Abbreviation or Acronym

HIES 2005

Country

Name	Country code
Sri Lanka	LKA

Study type

Income/Expenditure/Household Survey [hh/ies]

Series Information

Household Income & Expenditure Survey has been conducted, since 1990 as a separate survey. In the year 2005 a special household Income & Expenditure Survey was conducted to take into account the income & expenditure patterns of the country after the occurrence of the Tsunami disaster in December 2004. The sample size of the survey was 5000 housing units distributed among all 25 districts in Srilanka. Data was collected for three months - from September 2005 to November 2005. This report provides the estimated values based on the 3 months period from September to November 2005.The tables in this report are presented at national level & sector level along with a comparison of the information and findings of the previous surveys.

The data was collected by direct interviews using a special schedule having three sections:-

(1) Demographic characteristics
(2) Household expenditure (Food and Non-food items)
(3) Household income (Monetary and Non-monetary income)

Abstract

This survey provides information on household income and expenditure leading to measure the levels and changes of the living conditions of the people and to observe the consumption patterns .

Key objectives of the survey

To identify the income patterns in Urban, Rural and Estate Sectors & provinces.
To identify the income patterns by income levels.
Average consumption of food items and non food items
Expenditure patterns by sector and by income level.

Kind of Data

Sample survey data [ssd]

Unit of Analysis

Household, Individuals

Version

Version Description

v1.0: Full edited dataset, original version for internal DPD use.

Version Date

2008-04-28

Version Notes

v1.0: Full edited dataset, original version for internal DPD use.

Scope

Notes

The scope of HIES 2005 includes the following key sections:-

                                            1). Demographic characteristics
                                            2). Income 
                                            3). Expenditure

Identification and Demographic Information

Address
Province
District
D.S. Division
Name of MC/UC
G. N. Division
Name of Village
Name of Estate
C.B. No & SSU No.
Sample Stratum
Survey Month
Number of households
Name of the Head of the household
Interviewer's & Supervising Office
Demographic Characteristics

Expenditure

Daily consumption on Food, Drink and Tobacco
( Cereals, Prepared foods, Pulses, Vegetables, Leafy Vegetables, Yams & other, Meat, Fish, Dried fish,
Eggs, Coconuts, Condiments, Other foods, Milk and milk foods, Fats and Oils, Sugar, Juggery and
Treacle, Dried foods, Canned Fruits, Confectioner and Short eats, Beverages-Non alcoholic, Liquor,
Drugs and Tobacco)
Household expenditure on Housing, Fuel and Light, Non-durable goods, Services and Consumer durables
for main Household
( Housing, Fuel and Light, Personal care expenses, Health expenses, Transport fees, Maintenance of
private Vehicles , Communication, Education, Recreation entertainment, Non durable household goods,
Household services, Clothing and Textiles, Foot wear and other personal affects, Durable household
goods, Other expenses, Other ad-hoc expenses)
Expenditure on Housing, Fuel & Light, Non-durable goods, Services & Consumer durables for boarders &
domestic servants.

Income

Income from paid employment/s during last four 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 ad-hoc gains during last 12 months
Income in kind during last calendar month

Topics

Topic	Vocabulary	URI
consumption/consumer behaviour [1.1]	CESSDA	http://www.nesstar.org/rdf/common
income, property and investment/saving [1.5]	CESSDA	http://www.nesstar.org/rdf/common
land use and planning [10.2]	CESSDA	http://www.nesstar.org/rdf/common

Coverage

Geographic Coverage

National coverage.

Universe

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	Ministry of Finance and Planning

Funding Agency/Sponsor

Name	Abbreviation
Government of Sri Lanka	GOSL

Sampling

Sampling Procedure

A two stage stratified random sample design was used in the survey. Urban, Rural and Estate sectors of the Districts were the domains for stratification. The sample frame was the list of buildings that were prepared for the Census of Population and Housing 2001.

Selection of Primary Sampling Units (PSU's)
Primary sampling units are the census blocks prepared for the Census of Population and Housing - 2001. The sample frame, which is a collection of all census blocks in the domain, was used for the selection of primary sampling units. A sample of 500 primary sampling units was selected from the sampling frame for the survey.

Selection of Secondary Sampling Units (SSU's)
Secondary Sampling Units are the housing units in the selected 500 primary sampling units (census blocks). From each primary sampling unit 10 housing units (SSU) were selected for the survey. The total sample size of 5000 housing units was selected and distributed among Districts in Sri Lanka.

Survey instrument

Questionnaires

Questionaires

              The survey schedule was designed to collect data by household  and separate schedules were used for each household identified according to the definition of the household within the housing units selected for the survey. The survey schedule consists three main sections . 

             1. Demographic section 
             2. Expenditure
             3.  Income

The Demographic characteristics and usual activities of the inmates belonging to the household were reported in the Demographic section of the schedule (and close relatives temporarily living away are also listed in this section). Expenditure section has two sub sections to report food and non-food consumption data separately. Expenditure incurred on their own decisions by boarders and servants are recorded in the sub section under the Main expenditure section. The income has seven sub sections categorized according to the main sources of income.

Data collection

Dates of Data Collection

Start	End
2005-09-01	2005-11-03

Time periods

Start date	End date
2005-09	2005-11

Mode of data collection

Face-to-face [f2f]

Data Collectors

Name	Affiliation	Abbreviation
Department of Census and Statistics	Ministry of Finance and Planning	DCS

Supervision

A group of statistical officers (Field Officers)were supervised by District Staff officers ( Statisticians,Deputy Directors) and the statisticians attached to the Sample Survey Division of DCS.

Data Collection Notes

Field data Collection

Data collection in the field was done by the statistical officers attached to the Divisional Secretariats in the Districts. The allocated number of blocks to the District that is to be surveyed in the month was equally distributed among the available weeks of the month. A fresh listing of total housing units belonging to the block was done one month before the survey was conducted and the selection of the SSU's were made from this updated list. The data collection was done in three visits made. Eg. on Monday the Demographic and Income related data were collected on the survey schedule and the members of the households were educated about recording the figures of consumption took place within the week. A separate sheet was provided for this purpose to be filled by the members of the households. A second visit was made in the mid of the week to supervise the householders' reporting work. The report was collected back after making the necessary corrections in the third visit made on the following Sunday.

Data appraisal

Estimates of Sampling Error

The exact differences or sampling error ,varies depending on the particular sample selected and the variability is measured by the standard error of the estimate. There is about a 95% chance or level of confidence that an estimate based on a sample will differ by no more than 1.96 standard errors from the true population value because of sampling error. Analyses relating to the HIES are generally conducted at the 95% level of confidence .

                    confidence interval =    Estimate value ± (standard error )*(1.96)

Data Appraisal

http://www.statistics.gov.lk/HIES/HIES%202007/introduction%20%20HIES.pdf

By visiting the above website a description about the adjustments for non-response could be read in section 1.2 of the Final report.

Data Access

Access authority

Name	Affiliation	URL	Email
Director General	Department of Census and Statistics	http//:www.statistics.gov.lk	dgcensus@sltnet.lk

Confidentiality

Is signing of a confidentiality declaration required?	Confidentiality declaration text
yes	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:

The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement.
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.
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.
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.
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.
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]
Source : http://www.statistics.gov.lk/databases/data%20dissemination/DataDissaPolicy_2007Oct26.pdf

Citation requirements

"Department of Census and Statistics, Household Income and Expenditure Survey 2005, Version 1.0 of the public use dataset, April, 2008, provided by the National Data Archive, Data Processing Division, www.statistics.gov.lk"

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.

Contacts

Name	Affiliation	Email	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

Metadata production

DDI Document ID

DDI_LKA_2005_HIES_v01_M

Producers

Name	Abbreviation	Affiliation	Role
Department of Census and Statistics	DCS	Minstry of Finance & Planning	Data Collection

Date of Metadata Production